PAD Charts
PAD · {chart}

Every chart,
drawn on the server.

One tag turns rows of JSON, YAML, CSV or PHP into an accessible SVG chart - lines, areas, streams, bars, funnels, pyramids, waterfalls, pies, waffles, marimekkos, parliaments, venns, gauges, radars, roses, bullets, histograms, violins, scatters, heatmaps, candlesticks, spirals, sankeys, chords, networks, treemaps, packs, org charts and gantt charts. No JavaScript, so it prints, caches and shows up in an e-mail.

  • 46 kinds
  • 69 examples
  • 0 lines of JavaScript
Energy from source to use Coal → Electricity: 40; Gas → Electricity: 55; Gas → Heat: 35; Wind → Electricity: 30; Solar → Electricity: 15; Oil → Transport: 60; Electricity → Homes: 45; Electricity → Industry: 55; Electricity → Losses: 40; Heat → Homes: 25; Heat → Industry: 10; Transport → Losses: 38; Transport → Services: 22 Coal → Electricity: 40 Heat → Homes: 25 Heat → Industry: 10 Gas → Electricity: 55 Gas → Heat: 35 Electricity → Homes: 45 Electricity → Industry: 55 Electricity → Losses: 40 Wind → Electricity: 30 Solar → Electricity: 15 Transport → Losses: 38 Transport → Services: 22 Oil → Transport: 60 Coal: 40 Coal Electricity: 140 Electricity Gas: 90 Gas Heat: 35 Heat Wind: 30 Wind Solar: 15 Solar Oil: 60 Oil Transport: 60 Transport Homes: 70 Homes Industry: 65 Industry Losses: 78 Losses Services: 22 Services

Line

Change over time
Visits this week Mon: 1,240; Tue: 1,580; Wed: 1,395; Thu: 1,720; Fri: 2,110; Sat: 2,640; Sun: 2,380 0 1,000 2,000 3,000 Mon Tue Wed Thu Fri Sat Sun Mon: 1,240 Tue: 1,580 Wed: 1,395 Thu: 1,720 Fri: 2,110 Sat: 2,640 Sun: 2,380 Website visits One series, the last point marked - the data JSON, between the tags. Average temperature per month Jan: Amsterdam 3.4, Madrid 6.3, Oslo -4.3; Feb: Amsterdam 3.6, Madrid 7.9, Oslo -4; Mar: Amsterdam 6, Madrid 11.2, Oslo -0.2; Apr: Amsterdam 9, Madrid 12.9, Oslo 4.5; May: Amsterdam 12.8, Madrid 16.7, Oslo 10.8; Jun: Amsterdam 15.6, Madrid 22.4, Oslo 15.2; Jul: Amsterdam 17.6, Madrid 25.6, Oslo 16.4; Aug: Amsterdam 17.5, Madrid 25.1, Oslo 15.2; Sep: Amsterdam 14.8, Madrid 20.9, Oslo 10.8; Oct: Amsterdam 11.1, Madrid 15.1, Oslo 6.3; Nov: Amsterdam 7, Madrid 9.9, Oslo 0.7; Dec: Amsterdam 4.3, Madrid 6.9, Oslo -3.1 Amsterdam Madrid Oslo -10 0 10 20 30 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Madrid Amsterdam Oslo Jan · Amsterdam: 3.4 Feb · Amsterdam: 3.6 Mar · Amsterdam: 6 Apr · Amsterdam: 9 May · Amsterdam: 12.8 Jun · Amsterdam: 15.6 Jul · Amsterdam: 17.6 Aug · Amsterdam: 17.5 Sep · Amsterdam: 14.8 Oct · Amsterdam: 11.1 Nov · Amsterdam: 7 Dec · Amsterdam: 4.3 Jan · Madrid: 6.3 Feb · Madrid: 7.9 Mar · Madrid: 11.2 Apr · Madrid: 12.9 May · Madrid: 16.7 Jun · Madrid: 22.4 Jul · Madrid: 25.6 Aug · Madrid: 25.1 Sep · Madrid: 20.9 Oct · Madrid: 15.1 Nov · Madrid: 9.9 Dec · Madrid: 6.9 Jan · Oslo: -4.3 Feb · Oslo: -4 Mar · Oslo: -0.2 Apr · Oslo: 4.5 May · Oslo: 10.8 Jun · Oslo: 15.2 Jul · Oslo: 16.4 Aug · Oslo: 15.2 Sep · Oslo: 10.8 Oct · Oslo: 6.3 Nov · Oslo: 0.7 Dec · Oslo: -3.1 Temperatures in three cities A list of fields in value= draws a line each, named at its end. Closing price per month Jan: 182.4; Feb: 176.1; Mar: 190.85; Apr: 205.3; May: 198.75; Jun: 214.2; Jul: 229.65; Aug: 221.1; Sep: 236.4; Oct: 248.95; Nov: 243.3; Dec: 261.8 0 100 200 300 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan: 182.4 Feb: 176.1 Mar: 190.85 Apr: 205.3 May: 198.75 Jun: 214.2 Jul: 229.65 Aug: 221.1 Sep: 236.4 Oct: 248.95 Nov: 243.3 Dec: 261.8 A share price over a year Twelve months of a stock, from a YAML file.

Area & stream

Amounts adding up over time
Electricity generated by source, in TWh 2010: Coal 310, Gas 250, Nuclear 140, Wind 40, Solar 12; 2011: Coal 300, Gas 235, Nuclear 138, Wind 48, Solar 20; 2012: Coal 315, Gas 205, Nuclear 136, Wind 55, Solar 28; 2013: Coal 305, Gas 190, Nuclear 135, Wind 62, Solar 32; 2014: Coal 285, Gas 180, Nuclear 134, Wind 70, Solar 36; 2015: Coal 265, Gas 195, Nuclear 132, Wind 82, Solar 40; 2016: Coal 225, Gas 230, Nuclear 130, Wind 90, Solar 44; 2017: Coal 210, Gas 240, Nuclear 128, Wind 105, Solar 48; 2018: Coal 195, Gas 235, Nuclear 127, Wind 115, Solar 53; 2019: Coal 150, Gas 255, Nuclear 125, Wind 130, Solar 60; 2020: Coal 125, Gas 245, Nuclear 118, Wind 145, Solar 70; 2021: Coal 140, Gas 235, Nuclear 120, Wind 140, Solar 82; 2022: Coal 150, Gas 205, Nuclear 110, Wind 155, Solar 100; 2023: Coal 110, Gas 190, Nuclear 112, Wind 175, Solar 118; 2024: Coal 90, Gas 180, Nuclear 112, Wind 190, Solar 135 Coal Gas Nuclear Wind Solar 0 200 400 600 800 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 Coal: 3,175 in all Gas: 3,270 in all Nuclear: 1,897 in all Wind: 1,602 in all Solar: 878 in all 2010: Coal 310, Gas 250, Nuclear 140, Wind 40, Solar 12 2011: Coal 300, Gas 235, Nuclear 138, Wind 48, Solar 20 2012: Coal 315, Gas 205, Nuclear 136, Wind 55, Solar 28 2013: Coal 305, Gas 190, Nuclear 135, Wind 62, Solar 32 2014: Coal 285, Gas 180, Nuclear 134, Wind 70, Solar 36 2015: Coal 265, Gas 195, Nuclear 132, Wind 82, Solar 40 2016: Coal 225, Gas 230, Nuclear 130, Wind 90, Solar 44 2017: Coal 210, Gas 240, Nuclear 128, Wind 105, Solar 48 2018: Coal 195, Gas 235, Nuclear 127, Wind 115, Solar 53 2019: Coal 150, Gas 255, Nuclear 125, Wind 130, Solar 60 2020: Coal 125, Gas 245, Nuclear 118, Wind 145, Solar 70 2021: Coal 140, Gas 235, Nuclear 120, Wind 140, Solar 82 2022: Coal 150, Gas 205, Nuclear 110, Wind 155, Solar 100 2023: Coal 110, Gas 190, Nuclear 112, Wind 175, Solar 118 2024: Coal 90, Gas 180, Nuclear 112, Wind 190, Solar 135 Electricity by source stacked lays the areas on top of each other, the top edge the total. Share of web visits by device 2012: Desktop 1,820 (85.6%), Mobile 210 (9.9%), Tablet 95 (4.5%); 2013: Desktop 1,790 (76.5%), Mobile 390 (16.7%), Tablet 160 (6.8%); 2014: Desktop 1,750 (67.6%), Mobile 610 (23.6%), Tablet 230 (8.9%); 2015: Desktop 1,700 (59.6%), Mobile 890 (31.2%), Tablet 260 (9.1%); 2016: Desktop 1,640 (52.9%), Mobile 1,210 (39%), Tablet 250 (8.1%); 2017: Desktop 1,580 (47.1%), Mobile 1,540 (45.9%), Tablet 235 (7%); 2018: Desktop 1,510 (42.1%), Mobile 1,860 (51.9%), Tablet 215 (6%); 2019: Desktop 1,450 (38.3%), Mobile 2,150 (56.7%), Tablet 190 (5%); 2020: Desktop 1,520 (37.3%), Mobile 2,380 (58.3%), Tablet 180 (4.4%); 2021: Desktop 1,430 (33.9%), Mobile 2,620 (62.2%), Tablet 165 (3.9%); 2022: Desktop 1,380 (31.8%), Mobile 2,810 (64.7%), Tablet 150 (3.5%); 2023: Desktop 1,340 (30%), Mobile 2,990 (66.9%), Tablet 140 (3.1%); 2024: Desktop 1,300 (28.4%), Mobile 3,150 (68.8%), Tablet 130 (2.8%) Desktop Mobile Tablet 0% 25% 50% 75% 100% 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 Desktop: 20,210 in all Mobile: 22,810 in all Tablet: 2,400 in all 2012: Desktop 1,820 (85.6%), Mobile 210 (9.9%), Tablet 95 (4.5%) 2013: Desktop 1,790 (76.5%), Mobile 390 (16.7%), Tablet 160 (6.8%) 2014: Desktop 1,750 (67.6%), Mobile 610 (23.6%), Tablet 230 (8.9%) 2015: Desktop 1,700 (59.6%), Mobile 890 (31.2%), Tablet 260 (9.1%) 2016: Desktop 1,640 (52.9%), Mobile 1,210 (39%), Tablet 250 (8.1%) 2017: Desktop 1,580 (47.1%), Mobile 1,540 (45.9%), Tablet 235 (7%) 2018: Desktop 1,510 (42.1%), Mobile 1,860 (51.9%), Tablet 215 (6%) 2019: Desktop 1,450 (38.3%), Mobile 2,150 (56.7%), Tablet 190 (5%) 2020: Desktop 1,520 (37.3%), Mobile 2,380 (58.3%), Tablet 180 (4.4%) 2021: Desktop 1,430 (33.9%), Mobile 2,620 (62.2%), Tablet 165 (3.9%) 2022: Desktop 1,380 (31.8%), Mobile 2,810 (64.7%), Tablet 150 (3.5%) 2023: Desktop 1,340 (30%), Mobile 2,990 (66.9%), Tablet 140 (3.1%) 2024: Desktop 1,300 (28.4%), Mobile 3,150 (68.8%), Tablet 130 (2.8%) Visits by device percent stacks every year to 100% - the shift from desktop to mobile. Hours listened per genre, month by month Jan 2025: Pop 32, Hiphop 8, Rock 42, Electronic 12, Classical 14, Jazz 16; Feb 2025: Pop 34, Hiphop 11, Rock 42, Electronic 12, Classical 14, Jazz 16; Mar 2025: Pop 38, Hiphop 13, Rock 41, Electronic 12, Classical 9, Jazz 14; Apr 2025: Pop 43, Hiphop 16, Rock 39, Electronic 12, Classical 6, Jazz 11; May 2025: Pop 48, Hiphop 17, Rock 37, Electronic 13, Classical 6, Jazz 9; Jun 2025: Pop 51, Hiphop 19, Rock 35, Electronic 20, Classical 6, Jazz 9; Jul 2025: Pop 52, Hiphop 20, Rock 32, Electronic 27, Classical 6, Jazz 9; Aug 2025: Pop 50, Hiphop 20, Rock 29, Electronic 27, Classical 6, Jazz 9; Sep 2025: Pop 46, Hiphop 21, Rock 27, Electronic 20, Classical 6, Jazz 9; Oct 2025: Pop 41, Hiphop 21, Rock 24, Electronic 13, Classical 6, Jazz 9; Nov 2025: Pop 36, Hiphop 22, Rock 22, Electronic 12, Classical 6, Jazz 11; Dec 2025: Pop 32, Hiphop 23, Rock 21, Electronic 12, Classical 17, Jazz 14; Jan 2026: Pop 31, Hiphop 24, Rock 20, Electronic 12, Classical 14, Jazz 16; Feb 2026: Pop 33, Hiphop 26, Rock 20, Electronic 12, Classical 14, Jazz 16; Mar 2026: Pop 38, Hiphop 29, Rock 20, Electronic 12, Classical 9, Jazz 14; Apr 2026: Pop 43, Hiphop 31, Rock 20, Electronic 12, Classical 6, Jazz 11; May 2026: Pop 49, Hiphop 34, Rock 21, Electronic 13, Classical 6, Jazz 9; Jun 2026: Pop 52, Hiphop 37, Rock 21, Electronic 20, Classical 6, Jazz 9; Jul 2026: Pop 53, Hiphop 39, Rock 21, Electronic 27, Classical 6, Jazz 9; Aug 2026: Pop 51, Hiphop 41, Rock 21, Electronic 27, Classical 6, Jazz 9; Sep 2026: Pop 47, Hiphop 43, Rock 21, Electronic 20, Classical 6, Jazz 9; Oct 2026: Pop 41, Hiphop 44, Rock 20, Electronic 13, Classical 6, Jazz 9; Nov 2026: Pop 35, Hiphop 45, Rock 18, Electronic 12, Classical 6, Jazz 11; Dec 2026: Pop 31, Hiphop 45, Rock 16, Electronic 12, Classical 17, Jazz 14 Pop Hiphop Rock Electronic Classical Jazz Jan 2025 Apr 2025 Jul 2025 Oct 2025 Jan 2026 Apr 2026 Jul 2026 Oct 2026 Pop: 1,007 in all Hiphop: 649 in all Rock: 630 in all Electronic: 384 in all Classical: 204 in all Jazz: 272 in all Jan 2025: Pop 32, Hiphop 8, Rock 42, Electronic 12, Classical 14, Jazz 16 Feb 2025: Pop 34, Hiphop 11, Rock 42, Electronic 12, Classical 14, Jazz 16 Mar 2025: Pop 38, Hiphop 13, Rock 41, Electronic 12, Classical 9, Jazz 14 Apr 2025: Pop 43, Hiphop 16, Rock 39, Electronic 12, Classical 6, Jazz 11 May 2025: Pop 48, Hiphop 17, Rock 37, Electronic 13, Classical 6, Jazz 9 Jun 2025: Pop 51, Hiphop 19, Rock 35, Electronic 20, Classical 6, Jazz 9 Jul 2025: Pop 52, Hiphop 20, Rock 32, Electronic 27, Classical 6, Jazz 9 Aug 2025: Pop 50, Hiphop 20, Rock 29, Electronic 27, Classical 6, Jazz 9 Sep 2025: Pop 46, Hiphop 21, Rock 27, Electronic 20, Classical 6, Jazz 9 Oct 2025: Pop 41, Hiphop 21, Rock 24, Electronic 13, Classical 6, Jazz 9 Nov 2025: Pop 36, Hiphop 22, Rock 22, Electronic 12, Classical 6, Jazz 11 Dec 2025: Pop 32, Hiphop 23, Rock 21, Electronic 12, Classical 17, Jazz 14 Jan 2026: Pop 31, Hiphop 24, Rock 20, Electronic 12, Classical 14, Jazz 16 Feb 2026: Pop 33, Hiphop 26, Rock 20, Electronic 12, Classical 14, Jazz 16 Mar 2026: Pop 38, Hiphop 29, Rock 20, Electronic 12, Classical 9, Jazz 14 Apr 2026: Pop 43, Hiphop 31, Rock 20, Electronic 12, Classical 6, Jazz 11 May 2026: Pop 49, Hiphop 34, Rock 21, Electronic 13, Classical 6, Jazz 9 Jun 2026: Pop 52, Hiphop 37, Rock 21, Electronic 20, Classical 6, Jazz 9 Jul 2026: Pop 53, Hiphop 39, Rock 21, Electronic 27, Classical 6, Jazz 9 Aug 2026: Pop 51, Hiphop 41, Rock 21, Electronic 27, Classical 6, Jazz 9 Sep 2026: Pop 47, Hiphop 43, Rock 21, Electronic 20, Classical 6, Jazz 9 Oct 2026: Pop 41, Hiphop 44, Rock 20, Electronic 13, Classical 6, Jazz 9 Nov 2026: Pop 35, Hiphop 45, Rock 18, Electronic 12, Classical 6, Jazz 11 Dec 2026: Pop 31, Hiphop 45, Rock 16, Electronic 12, Classical 17, Jazz 14 Two years of listening stream: the genres swell and shrink around a wandering middle, in smooth curves. Average temperature per month in nine cities, in °C Oslo: Jan -4, Feb -4, Mar 0, Apr 5, May 11, Jun 15, Jul 17, Aug 16, Sep 11, Oct 6, Nov 1, Dec -3; Amsterdam: Jan 3, Feb 4, Mar 6, Apr 9, May 13, Jun 16, Jul 18, Aug 18, Sep 15, Oct 11, Nov 7, Dec 4; Madrid: Jan 6, Feb 8, Mar 11, Apr 13, May 17, Jun 23, Jul 26, Aug 25, Sep 21, Oct 15, Nov 10, Dec 7; Moscow: Jan -7, Feb -6, Mar -1, Apr 6, May 13, Jun 17, Jul 19, Aug 17, Sep 11, Oct 5, Nov -1, Dec -5; Cairo: Jan 14, Feb 15, Mar 18, Apr 22, May 25, Jun 27, Jul 28, Aug 28, Sep 26, Oct 24, Nov 19, Dec 15; Singapore: Jan 27, Feb 27, Mar 28, Apr 28, May 28, Jun 28, Jul 28, Aug 28, Sep 28, Oct 28, Nov 27, Dec 27; Tokyo: Jan 5, Feb 6, Mar 9, Apr 14, May 19, Jun 22, Jul 26, Aug 27, Sep 24, Oct 18, Nov 13, Dec 8; Sydney: Jan 23, Feb 23, Mar 22, Apr 19, May 16, Jun 14, Jul 13, Aug 14, Sep 16, Oct 18, Nov 20, Dec 22; Cape Town: Jan 22, Feb 22, Mar 21, Apr 18, May 16, Jun 14, Jul 13, Aug 14, Sep 15, Oct 17, Nov 19, Dec 21 Oslo -10 0 10 20 30 Oslo · Jan: -4 Oslo · Feb: -4 Oslo · Mar: 0 Oslo · Apr: 5 Oslo · May: 11 Oslo · Jun: 15 Oslo · Jul: 17 Oslo · Aug: 16 Oslo · Sep: 11 Oslo · Oct: 6 Oslo · Nov: 1 Oslo · Dec: -3 Amsterdam Amsterdam · Jan: 3 Amsterdam · Feb: 4 Amsterdam · Mar: 6 Amsterdam · Apr: 9 Amsterdam · May: 13 Amsterdam · Jun: 16 Amsterdam · Jul: 18 Amsterdam · Aug: 18 Amsterdam · Sep: 15 Amsterdam · Oct: 11 Amsterdam · Nov: 7 Amsterdam · Dec: 4 Madrid Madrid · Jan: 6 Madrid · Feb: 8 Madrid · Mar: 11 Madrid · Apr: 13 Madrid · May: 17 Madrid · Jun: 23 Madrid · Jul: 26 Madrid · Aug: 25 Madrid · Sep: 21 Madrid · Oct: 15 Madrid · Nov: 10 Madrid · Dec: 7 Moscow -10 0 10 20 30 Moscow · Jan: -7 Moscow · Feb: -6 Moscow · Mar: -1 Moscow · Apr: 6 Moscow · May: 13 Moscow · Jun: 17 Moscow · Jul: 19 Moscow · Aug: 17 Moscow · Sep: 11 Moscow · Oct: 5 Moscow · Nov: -1 Moscow · Dec: -5 Cairo Cairo · Jan: 14 Cairo · Feb: 15 Cairo · Mar: 18 Cairo · Apr: 22 Cairo · May: 25 Cairo · Jun: 27 Cairo · Jul: 28 Cairo · Aug: 28 Cairo · Sep: 26 Cairo · Oct: 24 Cairo · Nov: 19 Cairo · Dec: 15 Singapore Singapore · Jan: 27 Singapore · Feb: 27 Singapore · Mar: 28 Singapore · Apr: 28 Singapore · May: 28 Singapore · Jun: 28 Singapore · Jul: 28 Singapore · Aug: 28 Singapore · Sep: 28 Singapore · Oct: 28 Singapore · Nov: 27 Singapore · Dec: 27 Tokyo -10 0 10 20 30 Jan Dec Tokyo · Jan: 5 Tokyo · Feb: 6 Tokyo · Mar: 9 Tokyo · Apr: 14 Tokyo · May: 19 Tokyo · Jun: 22 Tokyo · Jul: 26 Tokyo · Aug: 27 Tokyo · Sep: 24 Tokyo · Oct: 18 Tokyo · Nov: 13 Tokyo · Dec: 8 Sydney Jan Dec Sydney · Jan: 23 Sydney · Feb: 23 Sydney · Mar: 22 Sydney · Apr: 19 Sydney · May: 16 Sydney · Jun: 14 Sydney · Jul: 13 Sydney · Aug: 14 Sydney · Sep: 16 Sydney · Oct: 18 Sydney · Nov: 20 Sydney · Dec: 22 Cape Town Jan Dec Cape Town · Jan: 22 Cape Town · Feb: 22 Cape Town · Mar: 21 Cape Town · Apr: 18 Cape Town · May: 16 Cape Town · Jun: 14 Cape Town · Jul: 13 Cape Town · Aug: 14 Cape Town · Sep: 15 Cape Town · Oct: 17 Cape Town · Nov: 19 Cape Town · Dec: 21 Temperatures in nine cities multiples: a small chart per city, all on one scale, in a grid.

Bars

Categories compared
Sales per month Jan: 12,400; Feb: 9,500; Mar: 14,300; Apr: 16,100; May: 15,200; Jun: 18,750 0 5,000 10,000 15,000 20,000 Jan Feb Mar Apr May Jun Jan: 12,400 Feb: 9,500 Mar: 14,300 Apr: 16,100 May: 15,200 Jun: 18,750 Sales per month Columns from a zero baseline - the data CSV, between the tags. Orders per quarter and channel Q1: Online 320, Shop 410, Phone 95; Q2: Online 380, Shop 395, Phone 80; Q3: Online 455, Shop 350, Phone 70; Q4: Online 610, Shop 420, Phone 65 Online Shop Phone 0 200 400 600 800 Q1 Q2 Q3 Q4 Q1 · Online: 320 Q1 · Shop: 410 Q1 · Phone: 95 Q2 · Online: 380 Q2 · Shop: 395 Q2 · Phone: 80 Q3 · Online: 455 Q3 · Shop: 350 Q3 · Phone: 70 Q4 · Online: 610 Q4 · Shop: 420 Q4 · Phone: 65 Online against the shop Several series side by side, a legend above. Electricity by source 2019: Coal 40, Gas 85, Wind 22, Solar 5; 2020: Coal 28, Gas 82, Wind 30, Solar 9; 2021: Coal 31, Gas 75, Wind 35, Solar 12; 2022: Coal 22, Gas 68, Wind 44, Solar 17; 2023: Coal 15, Gas 60, Wind 52, Solar 21 Coal Gas Wind Solar 0 50 100 150 200 2019 2020 2021 2022 2023 2019 · Coal: 40 2019 · Gas: 85 2019 · Wind: 22 2019 · Solar: 5 2020 · Coal: 28 2020 · Gas: 82 2020 · Wind: 30 2020 · Solar: 9 2021 · Coal: 31 2021 · Gas: 75 2021 · Wind: 35 2021 · Solar: 12 2022 · Coal: 22 2022 · Gas: 68 2022 · Wind: 44 2022 · Solar: 17 2023 · Coal: 15 2023 · Gas: 60 2023 · Wind: 52 2023 · Solar: 21 The energy mix per year stacked puts the series on top of each other. Result per quarter, in thousands Q1 '23: 42; Q2 '23: 18; Q3 '23: -25; Q4 '23: -11; Q1 '24: 15; Q2 '24: 37; Q3 '24: 56 -40 -20 0 20 40 60 Q1 '23 Q2 '23 Q3 '23 Q4 '23 Q1 '24 Q2 '24 Q3 '24 Q1 '23: 42 Q2 '23: 18 Q3 '23: -25 Q4 '23: -11 Q1 '24: 15 Q2 '24: 37 Q3 '24: 56 Profit and loss Negative values hang below the baseline. Speakers in millions English: 1,515; Mandarin Chinese: 1,140; Hindi: 609; Spanish: 560; Standard Arabic: 332; French: 312; Bengali: 278; Portuguese: 264 0 500 1,000 1,500 2,000 English Mandarin Chinese Hindi Spanish Standard Arabic French Bengali Portuguese English: 1,515 Mandarin Chinese: 1,140 Hindi: 609 Spanish: 560 Standard Arabic: 332 French: 312 Bengali: 278 Portuguese: 264 The most spoken languages hbar lays the bars down - the data XML, between the tags. Answers per statement I like my work: Agree 128, Neutral 44, Disagree 28; I learn new things: Agree 96, Neutral 62, Disagree 42; My pay is fair: Agree 71, Neutral 58, Disagree 71; I have enough time: Agree 64, Neutral 51, Disagree 85; I would recommend us: Agree 112, Neutral 53, Disagree 35 Agree Neutral Disagree 0 50 100 150 200 I like my work I learn new things My pay is fair I have enough time I would recommend us I like my work · Agree: 128 I like my work · Neutral: 44 I like my work · Disagree: 28 I learn new things · Agree: 96 I learn new things · Neutral: 62 I learn new things · Disagree: 42 My pay is fair · Agree: 71 My pay is fair · Neutral: 58 My pay is fair · Disagree: 71 I have enough time · Agree: 64 I have enough time · Neutral: 51 I have enough time · Disagree: 85 I would recommend us · Agree: 112 I would recommend us · Neutral: 53 I would recommend us · Disagree: 35 A survey, answer by answer Horizontal and stacked: every answer a part of the bar. From revenue to profit, in thousands Revenue: +420; Cost of sales: -180; Salaries: -120; Rent: -24; Tax: -35; Subsidy: +12; Profit: 73 0 100 200 300 400 500 Revenue: +420 +420 Revenue Cost of sales: -180 -180 Salaries: -120 -120 Salaries Rent: -24 -24 Tax: -35 -35 Tax Subsidy: +12 +12 Profit: 73 73 Profit From revenue to profit waterfall: each step floats from where the one before ended.

Funnel & pyramid

Steps that narrow
A month in a web shop, from visit to payment Visited the shop: 48,200; Viewed a product: 29,650 (61.5% of the first, 61.5% of the step before); Added to the cart: 8,740 (18.1% of the first, 29.5% of the step before); Started checkout: 4,310 (8.9% of the first, 49.3% of the step before); Paid: 3,180 (6.6% of the first, 73.8% of the step before) Viewed a product: 61.5% of Visited the shop ↓ 61.5% Visited the shop: 48,200 48,200 Visited the shop 100% Added to the cart: 29.5% of Viewed a product ↓ 29.5% Viewed a product: 29,650 (61.5% of the first, 61.5% of the step before) 29,650 Viewed a product 61.5% Started checkout: 49.3% of Added to the cart ↓ 49.3% Added to the cart: 8,740 (18.1% of the first, 29.5% of the step before) 8,740 Added to the cart 18.1% Paid: 73.8% of Started checkout ↓ 73.8% Started checkout: 4,310 (8.9% of the first, 49.3% of the step before) 4,310 Started checkout 8.9% Paid: 3,180 (6.6% of the first, 73.8% of the step before) 3,180 Paid 6.6% A web shop funnel From visit to payment - the share of the first step and of the step before. Population by age, in thousands 0-9: men 512, women 488; 10-19: men 548, women 521; 20-29: men 601, women 584; 30-39: men 636, women 622; 40-49: men 598, women 590; 50-59: men 655, women 651; 60-69: men 540, women 566; 70-79: men 372, women 421; 80-89: men 148, women 226; 90+: men 24, women 61 Men Women 0 0 200 200 400 400 600 600 800 800 0-9 · men: 512 0-9 · women: 488 0-9 10-19 · men: 548 10-19 · women: 521 10-19 20-29 · men: 601 20-29 · women: 584 20-29 30-39 · men: 636 30-39 · women: 622 30-39 40-49 · men: 598 40-49 · women: 590 40-49 50-59 · men: 655 50-59 · women: 651 50-59 60-69 · men: 540 60-69 · women: 566 60-69 70-79 · men: 372 70-79 · women: 421 70-79 80-89 · men: 148 80-89 · women: 226 80-89 90+ · men: 24 90+ · women: 61 90+ A population pyramid Two fields back to back: men left, women right, by age group. A day of food, share of the plate Fats and sweets: 5 (5%); Dairy: 12 (12%); Meat fish and beans: 13 (13%); Grains: 30 (30%); Vegetables and fruit: 40 (40%) Fats and sweets: 5 (5%) Dairy: 12 (12%) Meat fish and beans: 13 (13%) Grains: 30 (30%) Vegetables and fruit: 40 (40%) Fats and sweets 5 (5%) Dairy 12 (12%) Meat fish and beans 13 (13%) Grains 30 (30%) Vegetables and fruit 40 (40%) A food pyramid One field: a triangle in layers, each layer's area its share.

Pie & donut

Parts of a whole

Waffle, marimekko & more

More ways to part a whole
Where the energy of a home goes, kWh a year Heating: 11,800 (62.7%, 63 of 100 squares); Hot water: 3,200 (17%, 17 of 100 squares); Appliances: 2,350 (12.5%, 12 of 100 squares); Cooking: 640 (3.4%, 3 of 100 squares); Lighting: 520 (2.8%, 3 of 100 squares); Standby: 310 (1.6%, 2 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Heating: 11,800 (62.7%, 63 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Hot water: 3,200 (17%, 17 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Appliances: 2,350 (12.5%, 12 of 100 squares) Cooking: 640 (3.4%, 3 of 100 squares) Cooking: 640 (3.4%, 3 of 100 squares) Cooking: 640 (3.4%, 3 of 100 squares) Lighting: 520 (2.8%, 3 of 100 squares) Lighting: 520 (2.8%, 3 of 100 squares) Lighting: 520 (2.8%, 3 of 100 squares) Standby: 310 (1.6%, 2 of 100 squares) Standby: 310 (1.6%, 2 of 100 squares) Heating 11,800 (62.7%) Hot water 3,200 (17%) Appliances 2,350 (12.5%) Cooking 640 (3.4%) Lighting 520 (2.8%) Standby 310 (1.6%) Where a home's energy goes waffle: 100 squares shared out by the largest remainder. Phones sold by region and brand, in thousands Europe, 2,000 (22.4% of all): nimbus 820 (41%), orbit 610 (30.5%), vega 240 (12%), other 330 (16.5%); North America, 1,900 (21.3% of all): nimbus 1,150 (60.5%), orbit 520 (27.4%), vega 90 (4.7%), other 140 (7.4%); Asia, 3,600 (40.3% of all): nimbus 640 (17.8%), orbit 900 (25%), vega 1,210 (33.6%), other 850 (23.6%); South America, 800 (8.9% of all): nimbus 210 (26.3%), orbit 180 (22.5%), vega 160 (20%), other 250 (31.3%); Africa, 640 (7.2% of all): nimbus 90 (14.1%), orbit 140 (21.9%), vega 230 (35.9%), other 180 (28.1%) Nimbus Orbit Vega Other 0% 25% 50% 75% 100% Europe · nimbus: 820 (41% of Europe) 41% Europe · orbit: 610 (30.5% of Europe) 30.5% Europe · vega: 240 (12% of Europe) 12% Europe · other: 330 (16.5% of Europe) 16.5% Europe 2,000 · 22.4% North America · nimbus: 1,150 (60.5% of North America) 60.5% North America · orbit: 520 (27.4% of North America) 27.4% North America · vega: 90 (4.7% of North America) North America · other: 140 (7.4% of North America) 7.4% North America 1,900 · 21.3% Asia · nimbus: 640 (17.8% of Asia) 17.8% Asia · orbit: 900 (25% of Asia) 25% Asia · vega: 1,210 (33.6% of Asia) 33.6% Asia · other: 850 (23.6% of Asia) 23.6% Asia 3,600 · 40.3% South America · nimbus: 210 (26.3% of South America) 26.3% South America · orbit: 180 (22.5% of South America) 22.5% South America · vega: 160 (20% of South America) 20% South America · other: 250 (31.3% of South America) 31.3% South … 800 · … Africa · nimbus: 90 (14.1% of Africa) 14.1% Africa · orbit: 140 (21.9% of Africa) 21.9% Africa · vega: 230 (35.9% of Africa) 35.9% Africa · other: 180 (28.1% of Africa) 28.1% Afri… 640 … Phones by region and brand marimekko: each column as wide as its region, the brands to 100% inside. A house of 150 seats after the election Labour Union: 38 seats; Green Left: 17 seats; Social Liberals: 22 seats; Centre Democrats: 29 seats; Farmers Party: 9 seats; Liberal People: 26 seats; National Front: 9 seats; 150 seats, 76 for a majority Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Labour Union: 38 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Green Left: 17 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Social Liberals: 22 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Centre Democrats: 29 seats Farmers Party: 9 seats Farmers Party: 9 seats Farmers Party: 9 seats Farmers Party: 9 seats Farmers Party: 9 seats Farmers Party: 9 seats Farmers Party: 9 seats Farmers Party: 9 seats Farmers Party: 9 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats Liberal People: 26 seats National Front: 9 seats National Front: 9 seats National Front: 9 seats National Front: 9 seats National Front: 9 seats National Front: 9 seats National Front: 9 seats National Front: 9 seats National Front: 9 seats 150 76 for a majority Labour Union 38 Green Left 17 Social Liberals 22 Centre Democrats 29 Farmers Party 9 Liberal People 26 National Front 9 A house of 150 seats parliament: a dot per seat, the parties from left to right. Which languages 1,000 students speak English: 620; Spanish: 340; French: 260; English & Spanish: 180; English & French: 120; Spanish & French: 60; English & Spanish & French: 35 English: 620 Spanish: 340 French: 260 English Spanish French 355 English only: 355 135 Spanish only: 135 145 English & Spanish only: 145 115 French only: 115 85 English & French only: 85 25 Spanish & French only: 25 35 English & Spanish & French: 35 Languages 1,000 students speak venn: three sets, every region with its own count. Homes in a town with a cat, a dog or both Cat: 4,120; Dog: 3,480; Cat & Dog: 960 Cat: 4,120 Dog: 3,480 Cat Dog 3,160 Cat only: 3,160 2,520 Dog only: 2,520 960 Cat & Dog: 960 Cats, dogs or both venn: two circles whose overlap has the area of the homes with both.

Scatter & bubble

How two numbers relate
Height and weight of twelve athletes Anna: height 162, weight 55; Bram: height 181, weight 77; Chloé: height 170, weight 63; Daan: height 188, weight 84; Eva: height 158, weight 52; Finn: height 176, weight 71; Gwen: height 167, weight 61; Hugo: height 193, weight 90; Iris: height 172, weight 66; Jesse: height 184, weight 75; Kim: height 164, weight 59; Lars: height 179, weight 81 50 60 70 80 90 150 160 170 180 190 200 height weight Anna: height 162, weight 55 Bram: height 181, weight 77 Chloé: height 170, weight 63 Daan: height 188, weight 84 Eva: height 158, weight 52 Finn: height 176, weight 71 Gwen: height 167, weight 61 Hugo: height 193, weight 90 Iris: height 172, weight 66 Jesse: height 184, weight 75 Kim: height 164, weight 59 Lars: height 179, weight 81 Trend line Height against weight A dot per row, and trend draws the least-squares line. Petal length and width of three irises length 1.4, width 0.2; length 1.3, width 0.2; length 1.5, width 0.2; length 1.7, width 0.4; length 1.4, width 0.3; length 1.6, width 0.2; length 1.5, width 0.4; length 1.2, width 0.2; length 4.7, width 1.4; length 4.5, width 1.5; length 4.9, width 1.5; length 4, width 1.3; length 4.6, width 1.5; length 3.9, width 1.1; length 4.4, width 1.4; length 4.1, width 1; length 6, width 2.5; length 5.1, width 1.9; length 5.9, width 2.1; length 5.6, width 1.8; length 5.8, width 2.2; length 6.6, width 2.1; length 5.5, width 1.8; length 6.1, width 2.3 setosa versicolor virginica 0 0.5 1 1.5 2 2.5 0 2 4 6 8 length width setosa · length 1.4, width 0.2 setosa · length 1.3, width 0.2 setosa · length 1.5, width 0.2 setosa · length 1.7, width 0.4 setosa · length 1.4, width 0.3 setosa · length 1.6, width 0.2 setosa · length 1.5, width 0.4 setosa · length 1.2, width 0.2 versicolor · length 4.7, width 1.4 versicolor · length 4.5, width 1.5 versicolor · length 4.9, width 1.5 versicolor · length 4, width 1.3 versicolor · length 4.6, width 1.5 versicolor · length 3.9, width 1.1 versicolor · length 4.4, width 1.4 versicolor · length 4.1, width 1 virginica · length 6, width 2.5 virginica · length 5.1, width 1.9 virginica · length 5.9, width 2.1 virginica · length 5.6, width 1.8 virginica · length 5.8, width 2.2 virginica · length 6.6, width 2.1 virginica · length 5.5, width 1.8 virginica · length 6.1, width 2.3 Trend line Three kinds of flowers color= colours the dots by a field. Income, life expectancy and population Netherlands: income 57,000, life 81.7, people 17.9; Germany: income 53,000, life 80.9, people 84.5; Poland: income 37,000, life 77.4, people 37.6; Brazil: income 15,000, life 75.8, people 216.4; United States: income 65,000, life 77.5, people 335; Mexico: income 19,000, life 75, people 128.5; India: income 7,000, life 70.8, people 1,428.6; Japan: income 42,000, life 84.5, people 123.3; Indonesia: income 12,000, life 71.7, people 277.5 Europe Americas Asia 65 70 75 80 85 90 0 20,000 40,000 60,000 80,000 income life Asia · India: income 7,000, life 70.8, people 1,428.6 Americas · United States: income 65,000, life 77.5, people 335 Asia · Indonesia: income 12,000, life 71.7, people 277.5 Americas · Brazil: income 15,000, life 75.8, people 216.4 Americas · Mexico: income 19,000, life 75, people 128.5 Asia · Japan: income 42,000, life 84.5, people 123.3 Europe · Germany: income 53,000, life 80.9, people 84.5 Europe · Poland: income 37,000, life 77.4, people 37.6 Europe · Netherlands: income 57,000, life 81.7, people 17.9 Income, life and people A bubble's area is its size= - here the population.

Heatmap

Patterns in dense data
Visits per weekday and hour Mon · 8h: 34; Mon · 10h: 40; Mon · 12h: 81; Mon · 14h: 58; Mon · 16h: 36; Mon · 18h: 62; Mon · 20h: 111; Mon · 22h: 62; Tue · 8h: 38; Tue · 10h: 45; Tue · 12h: 90; Tue · 14h: 65; Tue · 16h: 41; Tue · 18h: 69; Tue · 20h: 124; Tue · 22h: 69; Wed · 8h: 40; Wed · 10h: 47; Wed · 12h: 95; Wed · 14h: 68; Wed · 16h: 43; Wed · 18h: 73; Wed · 20h: 130; Wed · 22h: 73; Thu · 8h: 44; Thu · 10h: 52; Thu · 12h: 105; Thu · 14h: 75; Thu · 16h: 47; Thu · 18h: 80; Thu · 20h: 143; Thu · 22h: 80; Fri · 8h: 36; Fri · 10h: 43; Fri · 12h: 86; Fri · 14h: 62; Fri · 16h: 38; Fri · 18h: 66; Fri · 20h: 117; Fri · 22h: 66; Sat · 8h: 47; Sat · 10h: 56; Sat · 12h: 114; Sat · 14h: 82; Sat · 16h: 51; Sat · 18h: 88; Sat · 20h: 156; Sat · 22h: 88; Sun · 8h: 51; Sun · 10h: 61; Sun · 12h: 124; Sun · 14h: 89; Sun · 16h: 55; Sun · 18h: 95; Sun · 20h: 169; Sun · 22h: 95 Mon Tue Wed Thu Fri Sat Sun 8h 10h 12h 14h 16h 18h 20h 22h Mon · 8h: 34 34 Mon · 10h: 40 40 Mon · 12h: 81 81 Mon · 14h: 58 58 Mon · 16h: 36 36 Mon · 18h: 62 62 Mon · 20h: 111 111 Mon · 22h: 62 62 Tue · 8h: 38 38 Tue · 10h: 45 45 Tue · 12h: 90 90 Tue · 14h: 65 65 Tue · 16h: 41 41 Tue · 18h: 69 69 Tue · 20h: 124 124 Tue · 22h: 69 69 Wed · 8h: 40 40 Wed · 10h: 47 47 Wed · 12h: 95 95 Wed · 14h: 68 68 Wed · 16h: 43 43 Wed · 18h: 73 73 Wed · 20h: 130 130 Wed · 22h: 73 73 Thu · 8h: 44 44 Thu · 10h: 52 52 Thu · 12h: 105 105 Thu · 14h: 75 75 Thu · 16h: 47 47 Thu · 18h: 80 80 Thu · 20h: 143 143 Thu · 22h: 80 80 Fri · 8h: 36 36 Fri · 10h: 43 43 Fri · 12h: 86 86 Fri · 14h: 62 62 Fri · 16h: 38 38 Fri · 18h: 66 66 Fri · 20h: 117 117 Fri · 22h: 66 66 Sat · 8h: 47 47 Sat · 10h: 56 56 Sat · 12h: 114 114 Sat · 14h: 82 82 Sat · 16h: 51 51 Sat · 18h: 88 88 Sat · 20h: 156 156 Sat · 22h: 88 88 Sun · 8h: 51 51 Sun · 10h: 61 61 Sun · 12h: 124 124 Sun · 14h: 89 89 Sun · 16h: 55 55 Sun · 18h: 95 95 Sun · 20h: 169 169 Sun · 22h: 95 95 34 169 Traffic by day and hour Data made by a PHP loop - seven steps of one hue. Rainfall in millimetres Amsterdam · Jan: 66; Amsterdam · Feb: 49; Amsterdam · Mar: 57; Amsterdam · Apr: 41; Amsterdam · May: 51; Amsterdam · Jun: 62; Amsterdam · Jul: 77; Amsterdam · Aug: 84; Amsterdam · Sep: 84; Amsterdam · Oct: 82; Amsterdam · Nov: 85; Amsterdam · Dec: 80; London · Jan: 55; London · Feb: 41; London · Mar: 42; London · Apr: 44; London · May: 49; London · Jun: 45; London · Jul: 45; London · Aug: 50; London · Sep: 49; London · Oct: 69; London · Nov: 59; London · Dec: 55; Madrid · Jan: 34; Madrid · Feb: 34; Madrid · Mar: 26; Madrid · Apr: 45; Madrid · May: 48; Madrid · Jun: 21; Madrid · Jul: 11; Madrid · Aug: 10; Madrid · Sep: 24; Madrid · Oct: 59; Madrid · Nov: 52; Madrid · Dec: 52; Rome · Jan: 67; Rome · Feb: 73; Rome · Mar: 58; Rome · Apr: 81; Rome · May: 53; Rome · Jun: 34; Rome · Jul: 19; Rome · Aug: 37; Rome · Sep: 73; Rome · Oct: 113; Rome · Nov: 115; Rome · Dec: 82 Amsterdam London Madrid Rome Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Amsterdam · Jan: 66 66 Amsterdam · Feb: 49 49 Amsterdam · Mar: 57 57 Amsterdam · Apr: 41 41 Amsterdam · May: 51 51 Amsterdam · Jun: 62 62 Amsterdam · Jul: 77 77 Amsterdam · Aug: 84 84 Amsterdam · Sep: 84 84 Amsterdam · Oct: 82 82 Amsterdam · Nov: 85 85 Amsterdam · Dec: 80 80 London · Jan: 55 55 London · Feb: 41 41 London · Mar: 42 42 London · Apr: 44 44 London · May: 49 49 London · Jun: 45 45 London · Jul: 45 45 London · Aug: 50 50 London · Sep: 49 49 London · Oct: 69 69 London · Nov: 59 59 London · Dec: 55 55 Madrid · Jan: 34 34 Madrid · Feb: 34 34 Madrid · Mar: 26 26 Madrid · Apr: 45 45 Madrid · May: 48 48 Madrid · Jun: 21 21 Madrid · Jul: 11 11 Madrid · Aug: 10 10 Madrid · Sep: 24 24 Madrid · Oct: 59 59 Madrid · Nov: 52 52 Madrid · Dec: 52 52 Rome · Jan: 67 67 Rome · Feb: 73 73 Rome · Mar: 58 58 Rome · Apr: 81 81 Rome · May: 53 53 Rome · Jun: 34 34 Rome · Jul: 19 19 Rome · Aug: 37 37 Rome · Sep: 73 73 Rome · Oct: 113 113 Rome · Nov: 115 115 Rome · Dec: 82 82 10 115 Rainfall per month Cities against months, the value in every cell that has room. Commits in 2026 856 count from Jan 1, 2026 to Dec 31, 2026, on 203 days; highest 13 on Nov 23, 2026 Mon Wed Fri Jan Thu Jan 1, 2026: 1 Fri Jan 2, 2026: 1 Sat Jan 3, 2026: 0 Sun Jan 4, 2026: 0 Mon Jan 5, 2026: 5 Tue Jan 6, 2026: 3 Wed Jan 7, 2026: 0 Thu Jan 8, 2026: 1 Fri Jan 9, 2026: 1 Sat Jan 10, 2026: 0 Sun Jan 11, 2026: 0 Mon Jan 12, 2026: 1 Tue Jan 13, 2026: 5 Wed Jan 14, 2026: 5 Thu Jan 15, 2026: 7 Fri Jan 16, 2026: 1 Sat Jan 17, 2026: 0 Sun Jan 18, 2026: 3 Mon Jan 19, 2026: 5 Tue Jan 20, 2026: 8 Wed Jan 21, 2026: 8 Thu Jan 22, 2026: 3 Fri Jan 23, 2026: 0 Sat Jan 24, 2026: 1 Sun Jan 25, 2026: 4 Mon Jan 26, 2026: 3 Tue Jan 27, 2026: 5 Wed Jan 28, 2026: 0 Thu Jan 29, 2026: 7 Fri Jan 30, 2026: 0 Sat Jan 31, 2026: 0 Feb Sun Feb 1, 2026: 0 Mon Feb 2, 2026: 6 Tue Feb 3, 2026: 1 Wed Feb 4, 2026: 5 Thu Feb 5, 2026: 0 Fri Feb 6, 2026: 0 Sat Feb 7, 2026: 0 Sun Feb 8, 2026: 0 Mon Feb 9, 2026: 6 Tue Feb 10, 2026: 1 Wed Feb 11, 2026: 8 Thu Feb 12, 2026: 7 Fri Feb 13, 2026: 3 Sat Feb 14, 2026: 0 Sun Feb 15, 2026: 0 Mon Feb 16, 2026: 6 Tue Feb 17, 2026: 0 Wed Feb 18, 2026: 7 Thu Feb 19, 2026: 0 Fri Feb 20, 2026: 4 Sat Feb 21, 2026: 0 Sun Feb 22, 2026: 2 Mon Feb 23, 2026: 3 Tue Feb 24, 2026: 5 Wed Feb 25, 2026: 5 Thu Feb 26, 2026: 7 Fri Feb 27, 2026: 2 Sat Feb 28, 2026: 0 Mar Sun Mar 1, 2026: 0 Mon Mar 2, 2026: 5 Tue Mar 3, 2026: 8 Wed Mar 4, 2026: 0 Thu Mar 5, 2026: 0 Fri Mar 6, 2026: 2 Sat Mar 7, 2026: 0 Sun Mar 8, 2026: 0 Mon Mar 9, 2026: 6 Tue Mar 10, 2026: 5 Wed Mar 11, 2026: 0 Thu Mar 12, 2026: 7 Fri Mar 13, 2026: 0 Sat Mar 14, 2026: 0 Sun Mar 15, 2026: 2 Mon Mar 16, 2026: 6 Tue Mar 17, 2026: 3 Wed Mar 18, 2026: 0 Thu Mar 19, 2026: 1 Fri Mar 20, 2026: 1 Sat Mar 21, 2026: 0 Sun Mar 22, 2026: 0 Mon Mar 23, 2026: 4 Tue Mar 24, 2026: 3 Wed Mar 25, 2026: 0 Thu Mar 26, 2026: 8 Fri Mar 27, 2026: 1 Sat Mar 28, 2026: 0 Sun Mar 29, 2026: 0 Mon Mar 30, 2026: 1 Tue Mar 31, 2026: 1 Apr Wed Apr 1, 2026: 1 Thu Apr 2, 2026: 0 Fri Apr 3, 2026: 4 Sat Apr 4, 2026: 0 Sun Apr 5, 2026: 0 Mon Apr 6, 2026: 1 Tue Apr 7, 2026: 8 Wed Apr 8, 2026: 0 Thu Apr 9, 2026: 8 Fri Apr 10, 2026: 4 Sat Apr 11, 2026: 0 Sun Apr 12, 2026: 0 Mon Apr 13, 2026: 4 Tue Apr 14, 2026: 7 Wed Apr 15, 2026: 3 Thu Apr 16, 2026: 0 Fri Apr 17, 2026: 1 Sat Apr 18, 2026: 0 Sun Apr 19, 2026: 0 Mon Apr 20, 2026: 0 Tue Apr 21, 2026: 1 Wed Apr 22, 2026: 0 Thu Apr 23, 2026: 7 Fri Apr 24, 2026: 6 Sat Apr 25, 2026: 0 Sun Apr 26, 2026: 0 Mon Apr 27, 2026: 6 Tue Apr 28, 2026: 1 Wed Apr 29, 2026: 7 Thu Apr 30, 2026: 0 May Fri May 1, 2026: 1 Sat May 2, 2026: 0 Sun May 3, 2026: 0 Mon May 4, 2026: 2 Tue May 5, 2026: 8 Wed May 6, 2026: 8 Thu May 7, 2026: 4 Fri May 8, 2026: 4 Sat May 9, 2026: 0 Sun May 10, 2026: 0 Mon May 11, 2026: 2 Tue May 12, 2026: 3 Wed May 13, 2026: 7 Thu May 14, 2026: 0 Fri May 15, 2026: 1 Sat May 16, 2026: 0 Sun May 17, 2026: 0 Mon May 18, 2026: 5 Tue May 19, 2026: 0 Wed May 20, 2026: 4 Thu May 21, 2026: 0 Fri May 22, 2026: 4 Sat May 23, 2026: 0 Sun May 24, 2026: 0 Mon May 25, 2026: 0 Tue May 26, 2026: 5 Wed May 27, 2026: 5 Thu May 28, 2026: 5 Fri May 29, 2026: 2 Sat May 30, 2026: 1 Sun May 31, 2026: 0 Jun Mon Jun 1, 2026: 6 Tue Jun 2, 2026: 4 Wed Jun 3, 2026: 1 Thu Jun 4, 2026: 0 Fri Jun 5, 2026: 0 Sat Jun 6, 2026: 0 Sun Jun 7, 2026: 0 Mon Jun 8, 2026: 0 Tue Jun 9, 2026: 4 Wed Jun 10, 2026: 0 Thu Jun 11, 2026: 3 Fri Jun 12, 2026: 1 Sat Jun 13, 2026: 0 Sun Jun 14, 2026: 0 Mon Jun 15, 2026: 3 Tue Jun 16, 2026: 1 Wed Jun 17, 2026: 3 Thu Jun 18, 2026: 8 Fri Jun 19, 2026: 4 Sat Jun 20, 2026: 0 Sun Jun 21, 2026: 0 Mon Jun 22, 2026: 2 Tue Jun 23, 2026: 4 Wed Jun 24, 2026: 1 Thu Jun 25, 2026: 3 Fri Jun 26, 2026: 1 Sat Jun 27, 2026: 0 Sun Jun 28, 2026: 0 Mon Jun 29, 2026: 1 Tue Jun 30, 2026: 7 Jul Wed Jul 1, 2026: 0 Thu Jul 2, 2026: 0 Fri Jul 3, 2026: 4 Sat Jul 4, 2026: 0 Sun Jul 5, 2026: 0 Mon Jul 6, 2026: 0 Tue Jul 7, 2026: 4 Wed Jul 8, 2026: 1 Thu Jul 9, 2026: 5 Fri Jul 10, 2026: 2 Sat Jul 11, 2026: 0 Sun Jul 12, 2026: 0 Mon Jul 13, 2026: 0 Tue Jul 14, 2026: 3 Wed Jul 15, 2026: 4 Thu Jul 16, 2026: 5 Fri Jul 17, 2026: 4 Sat Jul 18, 2026: 0 Sun Jul 19, 2026: 0 Mon Jul 20, 2026: 0 Tue Jul 21, 2026: 8 Wed Jul 22, 2026: 7 Thu Jul 23, 2026: 5 Fri Jul 24, 2026: 6 Sat Jul 25, 2026: 6 Sun Jul 26, 2026: 0 Mon Jul 27, 2026: 4 Tue Jul 28, 2026: 4 Wed Jul 29, 2026: 0 Thu Jul 30, 2026: 3 Fri Jul 31, 2026: 0 Aug Sat Aug 1, 2026: 0 Sun Aug 2, 2026: 0 Mon Aug 3, 2026: 0 Tue Aug 4, 2026: 0 Wed Aug 5, 2026: 0 Thu Aug 6, 2026: 0 Fri Aug 7, 2026: 0 Sat Aug 8, 2026: 0 Sun Aug 9, 2026: 0 Mon Aug 10, 2026: 0 Tue Aug 11, 2026: 5 Wed Aug 12, 2026: 0 Thu Aug 13, 2026: 0 Fri Aug 14, 2026: 0 Sat Aug 15, 2026: 0 Sun Aug 16, 2026: 0 Mon Aug 17, 2026: 0 Tue Aug 18, 2026: 0 Wed Aug 19, 2026: 8 Thu Aug 20, 2026: 0 Fri Aug 21, 2026: 3 Sat Aug 22, 2026: 0 Sun Aug 23, 2026: 0 Mon Aug 24, 2026: 0 Tue Aug 25, 2026: 1 Wed Aug 26, 2026: 0 Thu Aug 27, 2026: 0 Fri Aug 28, 2026: 0 Sat Aug 29, 2026: 0 Sun Aug 30, 2026: 0 Mon Aug 31, 2026: 1 Sep Tue Sep 1, 2026: 7 Wed Sep 2, 2026: 1 Thu Sep 3, 2026: 0 Fri Sep 4, 2026: 5 Sat Sep 5, 2026: 0 Sun Sep 6, 2026: 0 Mon Sep 7, 2026: 4 Tue Sep 8, 2026: 0 Wed Sep 9, 2026: 4 Thu Sep 10, 2026: 5 Fri Sep 11, 2026: 0 Sat Sep 12, 2026: 0 Sun Sep 13, 2026: 0 Mon Sep 14, 2026: 2 Tue Sep 15, 2026: 7 Wed Sep 16, 2026: 5 Thu Sep 17, 2026: 3 Fri Sep 18, 2026: 0 Sat Sep 19, 2026: 0 Sun Sep 20, 2026: 0 Mon Sep 21, 2026: 0 Tue Sep 22, 2026: 5 Wed Sep 23, 2026: 0 Thu Sep 24, 2026: 4 Fri Sep 25, 2026: 1 Sat Sep 26, 2026: 0 Sun Sep 27, 2026: 0 Mon Sep 28, 2026: 0 Tue Sep 29, 2026: 5 Wed Sep 30, 2026: 3 Oct Thu Oct 1, 2026: 7 Fri Oct 2, 2026: 6 Sat Oct 3, 2026: 6 Sun Oct 4, 2026: 0 Mon Oct 5, 2026: 1 Tue Oct 6, 2026: 1 Wed Oct 7, 2026: 3 Thu Oct 8, 2026: 3 Fri Oct 9, 2026: 5 Sat Oct 10, 2026: 0 Sun Oct 11, 2026: 0 Mon Oct 12, 2026: 2 Tue Oct 13, 2026: 1 Wed Oct 14, 2026: 5 Thu Oct 15, 2026: 0 Fri Oct 16, 2026: 0 Sat Oct 17, 2026: 0 Sun Oct 18, 2026: 4 Mon Oct 19, 2026: 4 Tue Oct 20, 2026: 1 Wed Oct 21, 2026: 3 Thu Oct 22, 2026: 0 Fri Oct 23, 2026: 6 Sat Oct 24, 2026: 0 Sun Oct 25, 2026: 0 Mon Oct 26, 2026: 3 Tue Oct 27, 2026: 1 Wed Oct 28, 2026: 1 Thu Oct 29, 2026: 1 Fri Oct 30, 2026: 6 Sat Oct 31, 2026: 0 Nov Sun Nov 1, 2026: 0 Mon Nov 2, 2026: 4 Tue Nov 3, 2026: 9 Wed Nov 4, 2026: 4 Thu Nov 5, 2026: 2 Fri Nov 6, 2026: 11 Sat Nov 7, 2026: 0 Sun Nov 8, 2026: 0 Mon Nov 9, 2026: 7 Tue Nov 10, 2026: 0 Wed Nov 11, 2026: 0 Thu Nov 12, 2026: 2 Fri Nov 13, 2026: 9 Sat Nov 14, 2026: 0 Sun Nov 15, 2026: 0 Mon Nov 16, 2026: 4 Tue Nov 17, 2026: 9 Wed Nov 18, 2026: 7 Thu Nov 19, 2026: 0 Fri Nov 20, 2026: 4 Sat Nov 21, 2026: 0 Sun Nov 22, 2026: 0 Mon Nov 23, 2026: 13 Tue Nov 24, 2026: 11 Wed Nov 25, 2026: 4 Thu Nov 26, 2026: 7 Fri Nov 27, 2026: 7 Sat Nov 28, 2026: 2 Sun Nov 29, 2026: 0 Mon Nov 30, 2026: 11 Dec Tue Dec 1, 2026: 0 Wed Dec 2, 2026: 4 Thu Dec 3, 2026: 0 Fri Dec 4, 2026: 0 Sat Dec 5, 2026: 0 Sun Dec 6, 2026: 0 Mon Dec 7, 2026: 4 Tue Dec 8, 2026: 5 Wed Dec 9, 2026: 4 Thu Dec 10, 2026: 4 Fri Dec 11, 2026: 5 Sat Dec 12, 2026: 0 Sun Dec 13, 2026: 0 Mon Dec 14, 2026: 4 Tue Dec 15, 2026: 4 Wed Dec 16, 2026: 8 Thu Dec 17, 2026: 8 Fri Dec 18, 2026: 3 Sat Dec 19, 2026: 0 Sun Dec 20, 2026: 0 Mon Dec 21, 2026: 0 Tue Dec 22, 2026: 7 Wed Dec 23, 2026: 7 Thu Dec 24, 2026: 0 Fri Dec 25, 2026: 3 Sat Dec 26, 2026: 2 Sun Dec 27, 2026: 0 Mon Dec 28, 2026: 2 Tue Dec 29, 2026: 7 Wed Dec 30, 2026: 3 Thu Dec 31, 2026: 4 Less More A year of commits calendar: a square per day, a column per week, the months above.

Gauge & radar

Measures at a glance
Disk in use Disk in use: 72% on a scale of 0 to 100%; target 80% Disk in use: 72% on a scale of 0 to 100% Target: 80% 72% Disk in use 0 100 Disk in use One number on a half ring, coloured bands and a target.
web-1 web-1: 34% on a scale of 0 to 100% web-1: 34% on a scale of 0 to 100% 34% web-1 0 100 web-2 web-2: 71% on a scale of 0 to 100% web-2: 71% on a scale of 0 to 100% 71% web-2 0 100 db-1 db-1: 93% on a scale of 0 to 100% db-1: 93% on a scale of 0 to 100% 93% db-1 0 100
Three servers A gauge per row - the value and label of each from the data.
Three phones compared, out of ten Aurora: battery 8, camera 6, screen 7, speed 9, price 5; Brisk: battery 6, camera 9, screen 8, speed 7, price 4; Comet: battery 9, camera 5, screen 6, speed 5, price 9 Aurora Brisk Comet 2.5 5 7.5 Battery Camera Screen Speed Price Aurora · battery: 8 Aurora · camera: 6 Aurora · screen: 7 Aurora · speed: 9 Aurora · price: 5 Brisk · battery: 6 Brisk · camera: 9 Brisk · screen: 8 Brisk · speed: 7 Brisk · price: 4 Comet · battery: 9 Comet · camera: 5 Comet · screen: 6 Comet · speed: 5 Comet · price: 9 Three phones compared radar: a spoke per measure, a polygon per phone. Two midfielders, skill by skill Ana: passing 88, shooting 61, tackling 74, stamina 92, dribbling 70, heading 55; Bea: passing 72, shooting 85, tackling 48, stamina 77, dribbling 89, heading 66 Ana Bea 25 50 75 Passing Shooting Tackling Stamina Dribbling Heading Ana · passing: 88 Ana · shooting: 61 Ana · tackling: 74 Ana · stamina: 92 Ana · dribbling: 70 Ana · heading: 55 Bea · passing: 72 Bea · shooting: 85 Bea · tackling: 48 Bea · stamina: 77 Bea · dribbling: 89 Bea · heading: 66 Two midfielders Six skills from a YAML file, on a scale of 0 to 100.

Rose & radial bars

Values around a centre
Deaths in the army in the East, April 1854 to March 1855 Apr 1854: disease 1, wounds 0, other 5; May: disease 12, wounds 0, other 9; Jun: disease 11, wounds 0, other 6; Jul: disease 359, wounds 0, other 23; Aug: disease 828, wounds 1, other 30; Sep: disease 788, wounds 81, other 70; Oct: disease 503, wounds 132, other 128; Nov: disease 844, wounds 287, other 106; Dec: disease 1,725, wounds 114, other 131; Jan 1855: disease 2,761, wounds 83, other 324; Feb: disease 2,120, wounds 42, other 361; Mar: disease 1,205, wounds 32, other 172 Disease Wounds Other Apr 1854 · disease: 1 Apr 1854 · other: 5 May · disease: 12 May · other: 9 Jun · disease: 11 Jun · other: 6 Jul · disease: 359 Jul · other: 23 Aug · disease: 828 Aug · wounds: 1 Aug · other: 30 Sep · disease: 788 Sep · wounds: 81 Sep · other: 70 Oct · disease: 503 Oct · wounds: 132 Oct · other: 128 Nov · disease: 844 Nov · wounds: 287 Nov · other: 106 Dec · disease: 1,725 Dec · wounds: 114 Dec · other: 131 Jan 1855 · disease: 2,761 Jan 1855 · wounds: 83 Jan 1855 · other: 324 Feb · disease: 2,120 Feb · wounds: 42 Feb · other: 361 Mar · disease: 1,205 Mar · wounds: 32 Mar · other: 172 1,000 2,000 3,000 Apr 1854 May Jun Jul Aug Sep Oct Nov Dec Jan 1855 Feb Mar Nightingale's rose Deaths in the Crimean war by month - each wedge's area its value, three causes as rings. Where the wind came from, hours in a year N: 410; NNE: 320; NE: 380; ENE: 350; E: 420; ESE: 260; SE: 240; SSE: 310; S: 520; SSW: 780; SW: 1,150; WSW: 1,020; W: 860; WNW: 560; NW: 420; NNW: 400 N: 410 NNE: 320 NE: 380 ENE: 350 E: 420 ESE: 260 SE: 240 SSE: 310 S: 520 SSW: 780 SW: 1,150 WSW: 1,020 W: 860 WNW: 560 NW: 420 NNW: 400 500 1,000 N NNE NE ENE E ESE SE SSE S SSW SW WSW W WNW NW NNW A wind rose Sixteen compass points, north on top - one field, one colour. Raised per class, towards the goal of 5,000 Class 6A: 4,620; Class 5B: 3,810; Class 4A: 3,150; Class 3C: 2,240; Class 2B: 1,475; Class 1A: 860; on a scale of 0 to 5,000 0 1,000 2,000 3,000 4,000 5,000 Class 6A: 4,620 Class 6A 4,620 Class 5B: 3,810 Class 5B 3,810 Class 4A: 3,150 Class 4A 3,150 Class 3C: 2,240 Class 3C 2,240 Class 2B: 1,475 Class 2B 1,475 Class 1A: 860 Class 1A 860 Raised towards a goal radialbar: a ring per class, the arc its share of to=.

Distributions

How values spread
Heights of 400 adults, in cm 150 – 155: 6; 155 – 160: 26; 160 – 165: 60; 165 – 170: 61; 170 – 175: 71; 175 – 180: 66; 180 – 185: 59; 185 – 190: 29; 190 – 195: 18; 195 – 200: 4 0 20 40 60 80 150 – 155: 6 155 – 160: 26 160 – 165: 60 165 – 170: 61 170 – 175: 71 175 – 180: 66 180 – 185: 59 185 – 190: 29 190 – 195: 18 195 – 200: 4 150 155 160 165 170 175 180 185 190 195 200 Heights of 400 adults histogram: two bell curves together give two humps. Delivery time of the last 40 orders, in days 0 – 3: 4; 3 – 6: 18; 6 – 9: 9; 9 – 12: 4; 12 – 15: 2; 15 – 18: 1; 18 – 21: 2 0 5 10 15 20 0 – 3: 4 3 – 6: 18 6 – 9: 9 9 – 12: 4 12 – 15: 2 15 – 18: 1 18 – 21: 2 0 3 6 9 12 15 18 21 Delivery times Whole days are counted in bins of whole days. Monthly salary per team, in euros Support: median 3,200, quartiles 3,062.5 – 3,375, range 2,900 – 3,650, 6 values; Sales: median 4,100, quartiles 3,675 – 4,675, range 3,200 – 8,900, 6 values; Engineering: median 5,250, quartiles 4,800 – 5,700, range 4,200 – 6,500, 6 values; Design: median 4,250, quartiles 4,100 – 4,500, range 3,800 – 4,600, 5 values 2,000 4,000 6,000 8,000 10,000 Support: median 3,200, quartiles 3,062.5 – 3,375, range 2,900 – 3,650, 6 values Support Sales: median 4,100, quartiles 3,675 – 4,675, range 3,200 – 8,900, 6 values Sales: 8,900 Sales Engineering: median 5,250, quartiles 4,800 – 5,700, range 4,200 – 6,500, 6 values Engineering Design: median 4,250, quartiles 4,100 – 4,500, range 3,800 – 4,600, 5 values Design Salary per team boxplot: quartiles, median, whiskers and the outlier. Reaction time in ms, rested and after a sleepless night Rested: 150 values, median 288.5, quartiles 272.25 – 309.75, range 212 – 373; Sleep-deprived: 150 values, median 356, quartiles 314 – 401, range 213 – 572 Rested Sleep-deprived 100 200 300 400 500 600 700 Rested: 150 values, median 288.5, quartiles 272.25 – 309.75, range 212 – 373 Rested: median 288.5 Sleep-deprived: 150 values, median 356, quartiles 314 – 401, range 213 – 572 Sleep-deprived: median 356 Reaction times, rested or not density: a smooth curve per group over one axis, the medians dashed. Exam scores per class, out of 100 3A: 30 values, median 79, quartiles 70.5 – 81, range 64 – 92; 3B: 30 values, median 64.5, quartiles 59 – 67.5, range 45 – 77; 3C: 30 values, median 64, quartiles 55.25 – 78, range 36 – 94; 3D: 30 values, median 71, quartiles 52 – 81.5, range 44 – 95 20 40 60 80 100 3A: 30 values, median 79, quartiles 70.5 – 81, range 64 – 92 3A: quartiles 70.5 – 81 3A: median 79 3A 3B: 30 values, median 64.5, quartiles 59 – 67.5, range 45 – 77 3B: quartiles 59 – 67.5 3B: median 64.5 3B 3C: 30 values, median 64, quartiles 55.25 – 78, range 36 – 94 3C: quartiles 55.25 – 78 3C: median 64 3C 3D: 30 values, median 71, quartiles 52 – 81.5, range 44 – 95 3D: quartiles 52 – 81.5 3D: median 71 3D Exam scores per class violin: the shape of each class, quartiles and median inside - a split class shows its two humps.

Bullet, rings & areas

Measures against goals
The quarter against its targets Revenue (k€): 1,240, target 1,400, scale 0 – 1,600; Profit (k€): 182, target 160, scale 0 – 250; Satisfaction (1-5): 4.1, target 4.4, scale 0 – 5; New customers: 318, target 300, scale 0 – 400; On time (%): 91, target 95, scale 0 – 100 Revenue (k€): 0 – 900 Revenue (k€): 900 – 1,200 Revenue (k€): 1,200 – 1,600 Revenue (k€): 1,240, target 1,400, scale 0 – 1,600 Revenue (k€): target 1,400 Revenue (k€) 0 500 1,000 1,500 Profit (k€): 0 – 100 Profit (k€): 100 – 150 Profit (k€): 150 – 250 Profit (k€): 182, target 160, scale 0 – 250 Profit (k€): target 160 Profit (k€) 0 50 100 150 200 250 Satisfaction (1-5): 0 – 3 Satisfaction (1-5): 3 – 4 Satisfaction (1-5): 4 – 5 Satisfaction (1-5): 4.1, target 4.4, scale 0 – 5 Satisfaction (1-5): target 4.4 Satisfaction (1-5) 0 1 2 3 4 5 New customers: 0 – 200 New customers: 200 – 280 New customers: 280 – 400 New customers: 318, target 300, scale 0 – 400 New customers: target 300 New customers 0 100 200 300 400 On time (%): 0 – 80 On time (%): 80 – 90 On time (%): 90 – 100 On time (%): 91, target 95, scale 0 – 100 On time (%): target 95 On time (%) 0 20 40 60 80 100 A quarter against its targets bullet: the value as a bar, the target a line, grey bands from poor to good. Today's activity against its goals Move (kcal): 468 of 600, 78%; Exercise (min): 34 of 30, 113%; Stand (hours): 9 of 12, 75% Move (kcal): 468 of 600, 78% Move (kcal): 468 of 600, 78% Exercise (min): 34 of 30, 113% Exercise (min): 34 of 30, 113% Stand (hours): 9 of 12, 75% Stand (hours): 9 of 12, 75% Move (kcal) 468 of 600 · 78% Exercise (min) 34 of 30 · 113% Stand (hours) 9 of 12 · 75% Today's activity rings: a progress ring per goal, a goal from a field of each row. Projects, per cent done Website relaunch: 82 of 100, 82%; Mobile app: 64 of 100, 64%; Data warehouse: 47 of 100, 47%; Support portal: 91 of 100, 91%; Billing rewrite: 23 of 100, 23% Website relaunch: 82 of 100, 82% Website relaunch: 82 of 100, 82% Mobile app: 64 of 100, 64% Mobile app: 64 of 100, 64% Data warehouse: 47 of 100, 47% Data warehouse: 47 of 100, 47% Support portal: 91 of 100, 91% Support portal: 91 of 100, 91% Billing rewrite: 23 of 100, 23% Billing rewrite: 23 of 100, 23% Website relaunch 82% Mobile app 64% Data warehouse 47% Support portal 91% Billing rewrite 23% Five projects, per cent done Rings against the default goal of 100, the share in the legend. CO₂ from fossil fuels in 2022, in million tonnes China: 11,397; United States: 5,057; India: 2,830; Russia: 1,652; Japan: 1,054; Iran: 691; Germany: 666; Saudi Arabia: 663; South Korea: 601; Canada: 548; Brazil: 484; United Kingdom: 320 China: 11,397 11,397 China United States: 5,057 5,057 United States India: 2,830 2,830 India Russia: 1,652 1,652 Russia Japan: 1,054 1,054 Japan Iran: 691 691 Iran Germany: 666 666 Germany Saudi Arabia: 663 663 Saudi Arabia South Korea: 601 601 South Korea Canada: 548 548 Canada Brazil: 484 484 Brazil United Kingdom: 320 320 United Kingdom CO₂ per country proportional: a circle's area is the value, wrapping into a second line. The five oceans, area in million km² Pacific: 165.25; Atlantic: 106.46; Indian: 70.56; Southern: 21.96; Arctic: 15.56 Pacific: 165.25 165.25 Pacific Atlantic: 106.46 106.46 Atlantic Indian: 70.56 70.56 Indian Southern: 21.96 21.96 Southern Arctic: 15.56 15.56 Arctic The five oceans square draws squares instead, on one baseline.

Gantt

Tasks in time

Finance

Prices and two measures at once
A share over thirty trading days, in euro Aug 24: open 48.34, high 49.17, low 48.3, close 48.48, volume 142,231; Aug 25: open 48.5, high 48.94, low 47.68, close 48.28, volume 164,501; Aug 26: open 48.25, high 48.86, low 47.66, close 48.57, volume 150,140; Aug 27: open 48.75, high 49.33, low 48.38, close 49.27, volume 196,941; Aug 28: open 49.22, high 49.93, low 48.66, close 49.25, volume 151,263; Aug 31: open 49.03, high 50.11, low 48.73, close 49.92, volume 225,644; Sep 1: open 50.18, high 50.76, low 49.26, close 49.9, volume 174,425; Sep 2: open 49.61, high 50.72, low 49.11, close 50.14, volume 180,026; Sep 3: open 50.36, high 51.35, low 50, close 50.77, volume 178,789; Sep 4: open 50.66, high 51.86, low 49.98, close 51.19, volume 170,150; Sep 7: open 51.09, high 51.79, low 50.96, close 51.78, volume 205,128; Sep 8: open 51.87, high 52.65, low 51.82, close 51.99, volume 155,985; Sep 9: open 51.71, high 52.41, low 50.64, close 51.3, volume 182,264; Sep 10: open 51.37, high 51.51, low 46.75, close 46.89, volume 557,453; Sep 11: open 46.75, high 46.91, low 45.11, close 45.66, volume 257,803; Sep 14: open 45.56, high 46.35, low 45.12, close 45.75, volume 148,280; Sep 15: open 45.57, high 45.99, low 44.8, close 45.38, volume 164,157; Sep 16: open 45.47, high 45.86, low 44.79, close 45.74, volume 150,634; Sep 17: open 45.99, high 46.47, low 45.83, close 46.3, volume 168,321; Sep 18: open 46.57, high 47.84, low 46.3, close 47.38, volume 198,983; Sep 21: open 47.67, high 48.18, low 47.03, close 47.58, volume 156,975; Sep 22: open 47.34, high 47.91, low 47.11, close 47.27, volume 137,796; Sep 23: open 47.24, high 48.7, low 46.79, close 48.04, volume 213,252; Sep 24: open 48.3, high 49.45, low 48.24, close 49.09, volume 224,730; Sep 25: open 49.06, high 49.51, low 48.98, close 49.16, volume 161,316; Sep 28: open 49.31, high 49.89, low 48.72, close 49.37, volume 156,523; Sep 29: open 49.45, high 50.2, low 48.86, close 50.12, volume 191,854; Sep 30: open 50.11, high 50.38, low 48.73, close 49.36, volume 225,882; Oct 1: open 49.18, high 50.04, low 48.62, close 49.54, volume 185,118; Oct 2: open 49.66, high 50.97, low 49.23, close 50.74, volume 241,668 44 46 48 50 52 54 Aug 24 Aug 27 Sep 1 Sep 4 Sep 9 Sep 14 Sep 17 Sep 22 Sep 25 Sep 30 Aug 24: volume 142,231 Aug 25: volume 164,501 Aug 26: volume 150,140 Aug 27: volume 196,941 Aug 28: volume 151,263 Aug 31: volume 225,644 Sep 1: volume 174,425 Sep 2: volume 180,026 Sep 3: volume 178,789 Sep 4: volume 170,150 Sep 7: volume 205,128 Sep 8: volume 155,985 Sep 9: volume 182,264 Sep 10: volume 557,453 Sep 11: volume 257,803 Sep 14: volume 148,280 Sep 15: volume 164,157 Sep 16: volume 150,634 Sep 17: volume 168,321 Sep 18: volume 198,983 Sep 21: volume 156,975 Sep 22: volume 137,796 Sep 23: volume 213,252 Sep 24: volume 224,730 Sep 25: volume 161,316 Sep 28: volume 156,523 Sep 29: volume 191,854 Sep 30: volume 225,882 Oct 1: volume 185,118 Oct 2: volume 241,668 557.5K Aug 24: open 48.34, high 49.17, low 48.3, close 48.48, volume 142,231 Aug 25: open 48.5, high 48.94, low 47.68, close 48.28, volume 164,501 Aug 26: open 48.25, high 48.86, low 47.66, close 48.57, volume 150,140 Aug 27: open 48.75, high 49.33, low 48.38, close 49.27, volume 196,941 Aug 28: open 49.22, high 49.93, low 48.66, close 49.25, volume 151,263 Aug 31: open 49.03, high 50.11, low 48.73, close 49.92, volume 225,644 Sep 1: open 50.18, high 50.76, low 49.26, close 49.9, volume 174,425 Sep 2: open 49.61, high 50.72, low 49.11, close 50.14, volume 180,026 Sep 3: open 50.36, high 51.35, low 50, close 50.77, volume 178,789 Sep 4: open 50.66, high 51.86, low 49.98, close 51.19, volume 170,150 Sep 7: open 51.09, high 51.79, low 50.96, close 51.78, volume 205,128 Sep 8: open 51.87, high 52.65, low 51.82, close 51.99, volume 155,985 Sep 9: open 51.71, high 52.41, low 50.64, close 51.3, volume 182,264 Sep 10: open 51.37, high 51.51, low 46.75, close 46.89, volume 557,453 Sep 11: open 46.75, high 46.91, low 45.11, close 45.66, volume 257,803 Sep 14: open 45.56, high 46.35, low 45.12, close 45.75, volume 148,280 Sep 15: open 45.57, high 45.99, low 44.8, close 45.38, volume 164,157 Sep 16: open 45.47, high 45.86, low 44.79, close 45.74, volume 150,634 Sep 17: open 45.99, high 46.47, low 45.83, close 46.3, volume 168,321 Sep 18: open 46.57, high 47.84, low 46.3, close 47.38, volume 198,983 Sep 21: open 47.67, high 48.18, low 47.03, close 47.58, volume 156,975 Sep 22: open 47.34, high 47.91, low 47.11, close 47.27, volume 137,796 Sep 23: open 47.24, high 48.7, low 46.79, close 48.04, volume 213,252 Sep 24: open 48.3, high 49.45, low 48.24, close 49.09, volume 224,730 Sep 25: open 49.06, high 49.51, low 48.98, close 49.16, volume 161,316 Sep 28: open 49.31, high 49.89, low 48.72, close 49.37, volume 156,523 Sep 29: open 49.45, high 50.2, low 48.86, close 50.12, volume 191,854 Sep 30: open 50.11, high 50.38, low 48.73, close 49.36, volume 225,882 Oct 1: open 49.18, high 50.04, low 48.62, close 49.54, volume 185,118 Oct 2: open 49.66, high 50.97, low 49.23, close 50.74, volume 241,668 A share over thirty days candlestick: open, high, low and close a day, and the volume below. Revenue in thousands, and the margin in percent Jan: Revenue 182, Margin 12.5; Feb: Revenue 175, Margin 11.8; Mar: Revenue 214, Margin 14.2; Apr: Revenue 226, Margin 15.1; May: Revenue 248, Margin 16.4; Jun: Revenue 265, Margin 17.9; Jul: Revenue 231, Margin 15.2; Aug: Revenue 198, Margin 13.1; Sep: Revenue 252, Margin 16.8; Oct: Revenue 274, Margin 18.4; Nov: Revenue 318, Margin 19.6; Dec: Revenue 356, Margin 17.2 Revenue (left) Margin (right) 0 100 200 300 400 0 5 10 15 20 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan · Revenue: 182 Feb · Revenue: 175 Mar · Revenue: 214 Apr · Revenue: 226 May · Revenue: 248 Jun · Revenue: 265 Jul · Revenue: 231 Aug · Revenue: 198 Sep · Revenue: 252 Oct · Revenue: 274 Nov · Revenue: 318 Dec · Revenue: 356 Jan · Margin: 12.5 Feb · Margin: 11.8 Mar · Margin: 14.2 Apr · Margin: 15.1 May · Margin: 16.4 Jun · Margin: 17.9 Jul · Margin: 15.2 Aug · Margin: 13.1 Sep · Margin: 16.8 Oct · Margin: 18.4 Nov · Margin: 19.6 Dec · Margin: 17.2 Revenue and margin dual: bars on the left axis, the margin as a line on the right one.

Spiral

Cycles in a long series
Ice cream sold per month over five years, in thousands Jan 2021: 15; Feb 2021: 20; Mar 2021: 35; Apr 2021: 55; May 2021: 80; Jun 2021: 100; Jul 2021: 115; Aug 2021: 110; Sep 2021: 70; Oct 2021: 40; Nov 2021: 20; Dec 2021: 30; Jan 2022: 16; Feb 2022: 22; Mar 2022: 38; Apr 2022: 59; May 2022: 86; Jun 2022: 108; Jul 2022: 124; Aug 2022: 119; Sep 2022: 76; Oct 2022: 43; Nov 2022: 22; Dec 2022: 32; Jan 2023: 17; Feb 2023: 23; Mar 2023: 41; Apr 2023: 64; May 2023: 93; Jun 2023: 81; Jul 2023: 93; Aug 2023: 89; Sep 2023: 81; Oct 2023: 46; Nov 2023: 23; Dec 2023: 35; Jan 2024: 19; Feb 2024: 25; Mar 2024: 43; Apr 2024: 68; May 2024: 99; Jun 2024: 124; Jul 2024: 143; Aug 2024: 136; Sep 2024: 87; Oct 2024: 50; Nov 2024: 25; Dec 2024: 37; Jan 2025: 20; Feb 2025: 26; Mar 2025: 46; Apr 2025: 73; May 2025: 106; Jun 2025: 132; Jul 2025: 152; Aug 2025: 145; Sep 2025: 92; Oct 2025: 53; Nov 2025: 26; Dec 2025: 40 Jan 2021: 15 Feb 2021: 20 Mar 2021: 35 Apr 2021: 55 May 2021: 80 Jun 2021: 100 Jul 2021: 115 Aug 2021: 110 Sep 2021: 70 Oct 2021: 40 Nov 2021: 20 Dec 2021: 30 Jan 2022: 16 Feb 2022: 22 Mar 2022: 38 Apr 2022: 59 May 2022: 86 Jun 2022: 108 Jul 2022: 124 Aug 2022: 119 Sep 2022: 76 Oct 2022: 43 Nov 2022: 22 Dec 2022: 32 Jan 2023: 17 Feb 2023: 23 Mar 2023: 41 Apr 2023: 64 May 2023: 93 Jun 2023: 81 Jul 2023: 93 Aug 2023: 89 Sep 2023: 81 Oct 2023: 46 Nov 2023: 23 Dec 2023: 35 Jan 2024: 19 Feb 2024: 25 Mar 2024: 43 Apr 2024: 68 May 2024: 99 Jun 2024: 124 Jul 2024: 143 Aug 2024: 136 Sep 2024: 87 Oct 2024: 50 Nov 2024: 25 Dec 2024: 37 Jan 2025: 20 Feb 2025: 26 Mar 2025: 46 Apr 2025: 73 May 2025: 106 Jun 2025: 132 Jul 2025: 152 Aug 2025: 145 Sep 2025: 92 Oct 2025: 53 Nov 2025: 26 Dec 2025: 40 2021 2022 2023 2024 2025 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 15 152 Five years of ice cream spiral: a turn a year, every summer a dark band on the same spoke. Daily visits over eight weeks, a turn a week Mon W1: 1,076; Tue W1: 983; Wed W1: 936; Thu W1: 917; Fri W1: 749; Sat W1: 281; Sun W1: 234; Mon W2: 1,118; Tue W2: 1,021; Wed W2: 972; Thu W2: 953; Fri W2: 778; Sat W2: 292; Sun W2: 243; Mon W3: 1,159; Tue W3: 1,058; Wed W3: 1,008; Thu W3: 988; Fri W3: 806; Sat W3: 302; Sun W3: 252; Mon W4: 1,201; Tue W4: 1,096; Wed W4: 1,044; Thu W4: 1,023; Fri W4: 835; Sat W4: 313; Sun W4: 261; Mon W5: 559; Tue W5: 510; Wed W5: 486; Thu W5: 476; Fri W5: 389; Sat W5: 146; Sun W5: 122; Mon W6: 1,283; Tue W6: 1,172; Wed W6: 1,116; Thu W6: 1,094; Fri W6: 893; Sat W6: 335; Sun W6: 279; Mon W7: 1,325; Tue W7: 1,210; Wed W7: 1,152; Thu W7: 1,129; Fri W7: 922; Sat W7: 346; Sun W7: 288; Mon W8: 1,366; Tue W8: 1,247; Wed W8: 1,188; Thu W8: 1,164; Fri W8: 950; Sat W8: 356; Sun W8: 297 Mon W1: 1,076 Tue W1: 983 Wed W1: 936 Thu W1: 917 Fri W1: 749 Sat W1: 281 Sun W1: 234 Mon W2: 1,118 Tue W2: 1,021 Wed W2: 972 Thu W2: 953 Fri W2: 778 Sat W2: 292 Sun W2: 243 Mon W3: 1,159 Tue W3: 1,058 Wed W3: 1,008 Thu W3: 988 Fri W3: 806 Sat W3: 302 Sun W3: 252 Mon W4: 1,201 Tue W4: 1,096 Wed W4: 1,044 Thu W4: 1,023 Fri W4: 835 Sat W4: 313 Sun W4: 261 Mon W5: 559 Tue W5: 510 Wed W5: 486 Thu W5: 476 Fri W5: 389 Sat W5: 146 Sun W5: 122 Mon W6: 1,283 Tue W6: 1,172 Wed W6: 1,116 Thu W6: 1,094 Fri W6: 893 Sat W6: 335 Sun W6: 279 Mon W7: 1,325 Tue W7: 1,210 Wed W7: 1,152 Thu W7: 1,129 Fri W7: 922 Sat W7: 346 Sun W7: 288 Mon W8: 1,366 Tue W8: 1,247 Wed W8: 1,188 Thu W8: 1,164 Fri W8: 950 Sat W8: 356 Sun W8: 297 W1 W2 W3 W4 W5 W6 W7 W8 Mon Tue Wed Thu Fri Sat Sun 122 1,366 Visits day by day period=7 winds a turn a week - the quiet weekends line up.

Sankey

Flows from stage to stage
Energy from source to use Coal → Electricity: 40; Gas → Electricity: 55; Gas → Heat: 35; Wind → Electricity: 30; Solar → Electricity: 15; Oil → Transport: 60; Electricity → Homes: 45; Electricity → Industry: 55; Electricity → Losses: 40; Heat → Homes: 25; Heat → Industry: 10; Transport → Losses: 38; Transport → Services: 22 Coal → Electricity: 40 Heat → Homes: 25 Heat → Industry: 10 Gas → Electricity: 55 Gas → Heat: 35 Electricity → Homes: 45 Electricity → Industry: 55 Electricity → Losses: 40 Wind → Electricity: 30 Solar → Electricity: 15 Transport → Losses: 38 Transport → Services: 22 Oil → Transport: 60 Coal: 40 Coal Electricity: 140 Electricity Gas: 90 Gas Heat: 35 Heat Wind: 30 Wind Solar: 15 Solar Oil: 60 Oil Transport: 60 Transport Homes: 70 Homes Industry: 65 Industry Losses: 78 Losses Services: 22 Services Where energy goes Sources, conversion and use - each band as wide as its flow. From visit to order Visitors → Product page: 6,200; Visitors → Left at once: 3,800; Product page → Basket: 2,100; Product page → Left browsing: 4,100; Basket → Checkout: 1,350; Basket → Abandoned: 750; Checkout → Order: 1,180; Checkout → Payment failed: 170 Visitors → Product page: 6,200 Visitors → Left at once: 3,800 Product page → Basket: 2,100 Product page → Left browsing: 4,100 Basket → Checkout: 1,350 Basket → Abandoned: 750 Checkout → Order: 1,180 Checkout → Payment failed: 170 Visitors: 10,000 Visitors Product page: 6,200 Product page Left at once: 3,800 Left at once Basket: 2,100 Basket Left browsing: 4,100 Left browsing Checkout: 1,350 Checkout Abandoned: 750 Abandoned Order: 1,180 Order Payment failed: 170 Payment failed A web shop funnel Visitors on their way to an order - the data YAML, between the tags. A salary of 3,200, spent Salary → Housing: 1,270; Housing → Rent: 1,150; Housing → Insurance: 120; Salary → Living: 650; Living → Groceries: 450; Living → Energy: 160; Living → Phone: 40; Salary → Transport: 350; Transport → Car: 260; Transport → Train: 90; Salary → Saving: 430; Saving → Pension: 250; Saving → Holiday: 180; Salary → Fun: 330; Fun → Dining out: 220; Fun → Sport: 80; Fun → Streaming: 30 Housing → Rent: 1,150 Housing → Insurance: 120 Salary → Housing: 1,270 Salary → Living: 650 Salary → Transport: 350 Salary → Saving: 430 Salary → Fun: 330 Living → Groceries: 450 Living → Energy: 160 Living → Phone: 40 Transport → Car: 260 Transport → Train: 90 Saving → Pension: 250 Saving → Holiday: 180 Fun → Dining out: 220 Fun → Sport: 80 Fun → Streaming: 30 Salary: 3,030 Salary Housing: 1,270 Housing Rent: 1,150 Rent Insurance: 120 Insurance Living: 650 Living Groceries: 450 Groceries Energy: 160 Energy Phone: 40 Phone Transport: 350 Transport Car: 260 Car Train: 90 Train Saving: 430 Saving Pension: 250 Pension Holiday: 180 Holiday Fun: 330 Fun Dining out: 220 Dining out Sport: 80 Sport Streaming: 30 Streaming A salary, spent One income split over posts, then over sub-posts.

Network

Connections
Who is friends with whom 11 nodes, 14 links; Ann → Bob; Ann → Cas; Ann → Dirk; Bob → Cas; Cas → Dirk; Dirk → Eva; Eva → Fay; Eva → Gus; Fay → Gus; Gus → Hanna; Hanna → Ivo; Ivo → Gus; Jet → Ann; Jet → Kees Ann → Bob Ann → Cas Ann → Dirk Bob → Cas Cas → Dirk Dirk → Eva Eva → Fay Eva → Gus Fay → Gus Gus → Hanna Hanna → Ivo Ivo → Gus Jet → Ann Jet → Kees Ann: 4 links Ann Bob: 2 links Bob Cas: 3 links Cas Dirk: 3 links Dirk Eva: 3 links Eva Fay: 2 links Fay Gus: 4 links Gus Hanna: 2 links Hanna Ivo: 2 links Ivo Jet: 2 links Jet Kees: 1 link Kees A circle of friends The force layout pulls linked nodes together. Direct flights per day 8 nodes, 12 links; Amsterdam → London: 28; Amsterdam → Paris: 14; Amsterdam → New York: 9; London → New York: 31; London → Dubai: 12; Paris → Dubai: 7; Dubai → Singapore: 10; Dubai → Tokyo: 5; Singapore → Tokyo: 11; Tokyo → New York: 6; New York → São Paulo: 8; Paris → São Paulo: 4 Amsterdam → London: 28 Amsterdam → Paris: 14 Amsterdam → New York: 9 London → New York: 31 London → Dubai: 12 Paris → Dubai: 7 Dubai → Singapore: 10 Dubai → Tokyo: 5 Singapore → Tokyo: 11 Tokyo → New York: 6 New York → São Paulo: 8 Paris → São Paulo: 4 Amsterdam: 3 links Amsterdam London: 3 links London Paris: 3 links Paris New York: 4 links New York Dubai: 4 links Dubai Singapore: 2 links Singapore Tokyo: 3 links Tokyo São Paulo: 2 links São Paulo Flights between hubs layout='radial' sets the nodes on a circle. Imports between modules 12 nodes, 17 links; app → router: 6; app → auth: 4; app → views: 9; router → request: 5; router → views: 3; auth → session: 7; auth → db: 4; auth → crypt: 3; views → template: 12; views → i18n: 2; template → cache: 3; template → i18n: 1; session → cache: 2; session → crypt: 1; db → cache: 4; db → log: 2; request → log: 1 app → router: 6 app → auth: 4 app → views: 9 router → request: 5 router → views: 3 auth → session: 7 auth → db: 4 auth → crypt: 3 views → template: 12 views → i18n: 2 template → cache: 3 template → i18n: 1 session → cache: 2 session → crypt: 1 db → cache: 4 db → log: 2 request → log: 1 app: 3 links app router: 3 links router auth: 4 links auth views: 4 links views request: 2 links request session: 3 links session db: 3 links db crypt: 2 links crypt template: 3 links template i18n: 2 links i18n cache: 3 links cache log: 2 links log Who imports whom arrows show the direction, value= the weight of a link.

Chord, arc & parallel

Flows, links and many measures
Moves between regions in a year, in thousands North → South: 42; North → East: 18; North → West: 25; North → Capital: 64; South → North: 30; South → East: 12; South → Capital: 48; East → North: 15; East → West: 9; East → Capital: 37; West → North: 21; West → South: 14; West → Capital: 29; Capital → North: 38; Capital → South: 52; Capital → East: 22; Capital → West: 31 North → South: 42 North → East: 18 North → West: 25 North → Capital: 64 South → North: 30 South → East: 12 South → Capital: 48 East → North: 15 East → West: 9 East → Capital: 37 West → North: 21 West → South: 14 West → Capital: 29 Capital → North: 38 Capital → South: 52 Capital → East: 22 Capital → West: 31 North: 149 out, 104 in North South: 90 out, 108 in South East: 61 out, 52 in East West: 64 out, 65 in West Capital: 143 out, 178 in Capital Moving between regions chord: an arc per region, a ribbon per move as wide as the people moving. Papers written together in a research group 12 nodes, 23 links; Ada → Bram: 9; Ada → Chen: 4; Ada → Dewi: 2; Bram → Chen: 6; Bram → Eline: 1; Chen → Dewi: 5; Chen → Farid: 3; Dewi → Eline: 7; Eline → Farid: 8; Eline → Greta: 2; Farid → Greta: 6; Farid → Hugo: 1; Greta → Hugo: 4; Greta → Ines: 3; Hugo → Ines: 5; Hugo → Jasper: 2; Ines → Jasper: 6; Ada → Jasper: 1; Bram → Greta: 2; Kofi → Jasper: 3; Kofi → Lotte: 4; Lotte → Ines: 1; Chen → Lotte: 1 Ada → Bram: 9 Ada → Chen: 4 Ada → Dewi: 2 Bram → Chen: 6 Bram → Eline: 1 Chen → Dewi: 5 Chen → Farid: 3 Dewi → Eline: 7 Eline → Farid: 8 Eline → Greta: 2 Farid → Greta: 6 Farid → Hugo: 1 Greta → Hugo: 4 Greta → Ines: 3 Hugo → Ines: 5 Hugo → Jasper: 2 Ines → Jasper: 6 Ada → Jasper: 1 Bram → Greta: 2 Kofi → Jasper: 3 Kofi → Lotte: 4 Lotte → Ines: 1 Chen → Lotte: 1 Ada: 4 links Ada Bram: 4 links Bram Chen: 5 links Chen Dewi: 3 links Dewi Eline: 4 links Eline Farid: 4 links Farid Greta: 5 links Greta Hugo: 4 links Hugo Ines: 4 links Ines Jasper: 4 links Jasper Kofi: 2 links Kofi Lotte: 3 links Lotte Papers written together arc: the authors on a line, a half circle per pair, thicker for more papers. Thirty-two cars of the seventies, six measures each Chevrolet Chevelle (USA): mpg 18, cylinders 8, horsepower 130, weight 3,504, acceleration 12, year 70; Ford Torino (USA): mpg 17, cylinders 8, horsepower 140, weight 3,449, acceleration 10.5, year 70; Plymouth Fury III (USA): mpg 14, cylinders 8, horsepower 215, weight 4,312, acceleration 8.5, year 70; Toyota Corona (Japan): mpg 24, cylinders 4, horsepower 95, weight 2,372, acceleration 15, year 70; Volkswagen 1131 (Europe): mpg 26, cylinders 4, horsepower 46, weight 1,835, acceleration 20.5, year 70; Peugeot 504 (Europe): mpg 25, cylinders 4, horsepower 87, weight 2,672, acceleration 17.5, year 70; Datsun PL510 (Japan): mpg 27, cylinders 4, horsepower 88, weight 2,130, acceleration 14.5, year 71; AMC Gremlin (USA): mpg 19, cylinders 6, horsepower 100, weight 2,634, acceleration 13, year 71; Ford Pinto (USA): mpg 25, cylinders 4, horsepower 86, weight 2,226, acceleration 16.5, year 71; Fiat 124B (Europe): mpg 30, cylinders 4, horsepower 76, weight 2,065, acceleration 14.5, year 71; Mazda RX2 Coupe (Japan): mpg 19, cylinders 3, horsepower 97, weight 2,330, acceleration 13.5, year 72; Volvo 145e (Europe): mpg 18, cylinders 4, horsepower 112, weight 2,933, acceleration 14.5, year 72; Buick Century 350 (USA): mpg 13, cylinders 8, horsepower 175, weight 4,100, acceleration 13, year 73; Toyota Corolla 1200 (Japan): mpg 31, cylinders 4, horsepower 65, weight 1,773, acceleration 19, year 71; Audi 100LS (Europe): mpg 23, cylinders 4, horsepower 91, weight 2,582, acceleration 14, year 73; Dodge Dart Custom (USA): mpg 15, cylinders 8, horsepower 150, weight 3,399, acceleration 11, year 73; Honda Civic (Japan): mpg 24, cylinders 4, horsepower 97, weight 2,489, acceleration 15, year 74; Ford Maverick (USA): mpg 21, cylinders 6, horsepower 72, weight 3,158, acceleration 19.5, year 75; Renault 12TL (Europe): mpg 27, cylinders 4, horsepower 75, weight 2,155, acceleration 14.5, year 76; Chevrolet Caprice (USA): mpg 17.5, cylinders 8, horsepower 145, weight 4,140, acceleration 13.7, year 77; Datsun 200SX (Japan): mpg 23.9, cylinders 4, horsepower 97, weight 2,405, acceleration 14.9, year 78; Saab 99GLE (Europe): mpg 21.6, cylinders 4, horsepower 115, weight 2,795, acceleration 15.7, year 78; Pontiac Phoenix (USA): mpg 33.5, cylinders 4, horsepower 88, weight 2,556, acceleration 13.6, year 78; Mercedes-Benz 300D (Europe): mpg 25.4, cylinders 5, horsepower 77, weight 3,530, acceleration 20.1, year 79; Oldsmobile Cutlass (USA): mpg 23.9, cylinders 8, horsepower 90, weight 3,420, acceleration 22.2, year 79; Mazda GLC (Japan): mpg 46.6, cylinders 4, horsepower 65, weight 2,110, acceleration 17.9, year 80; VW Rabbit Diesel (Europe): mpg 44.3, cylinders 4, horsepower 48, weight 2,085, acceleration 21.7, year 80; Toyota Cressida (Japan): mpg 25.4, cylinders 6, horsepower 116, weight 2,900, acceleration 12.6, year 81; Buick Skylark (USA): mpg 26.6, cylinders 4, horsepower 84, weight 2,635, acceleration 16.4, year 81; Honda Accord (Japan): mpg 36, cylinders 4, horsepower 88, weight 2,160, acceleration 14.5, year 82; Ford Ranger (USA): mpg 28, cylinders 4, horsepower 79, weight 2,625, acceleration 18.6, year 82; Peugeot 505S Turbo (Europe): mpg 28.1, cylinders 4, horsepower 80, weight 3,230, acceleration 20.4, year 81 USA Japan Europe Chevrolet Chevelle (USA): mpg 18, cylinders 8, horsepower 130, weight 3,504, acceleration 12, year 70 Ford Torino (USA): mpg 17, cylinders 8, horsepower 140, weight 3,449, acceleration 10.5, year 70 Plymouth Fury III (USA): mpg 14, cylinders 8, horsepower 215, weight 4,312, acceleration 8.5, year 70 Toyota Corona (Japan): mpg 24, cylinders 4, horsepower 95, weight 2,372, acceleration 15, year 70 Volkswagen 1131 (Europe): mpg 26, cylinders 4, horsepower 46, weight 1,835, acceleration 20.5, year 70 Peugeot 504 (Europe): mpg 25, cylinders 4, horsepower 87, weight 2,672, acceleration 17.5, year 70 Datsun PL510 (Japan): mpg 27, cylinders 4, horsepower 88, weight 2,130, acceleration 14.5, year 71 AMC Gremlin (USA): mpg 19, cylinders 6, horsepower 100, weight 2,634, acceleration 13, year 71 Ford Pinto (USA): mpg 25, cylinders 4, horsepower 86, weight 2,226, acceleration 16.5, year 71 Fiat 124B (Europe): mpg 30, cylinders 4, horsepower 76, weight 2,065, acceleration 14.5, year 71 Mazda RX2 Coupe (Japan): mpg 19, cylinders 3, horsepower 97, weight 2,330, acceleration 13.5, year 72 Volvo 145e (Europe): mpg 18, cylinders 4, horsepower 112, weight 2,933, acceleration 14.5, year 72 Buick Century 350 (USA): mpg 13, cylinders 8, horsepower 175, weight 4,100, acceleration 13, year 73 Toyota Corolla 1200 (Japan): mpg 31, cylinders 4, horsepower 65, weight 1,773, acceleration 19, year 71 Audi 100LS (Europe): mpg 23, cylinders 4, horsepower 91, weight 2,582, acceleration 14, year 73 Dodge Dart Custom (USA): mpg 15, cylinders 8, horsepower 150, weight 3,399, acceleration 11, year 73 Honda Civic (Japan): mpg 24, cylinders 4, horsepower 97, weight 2,489, acceleration 15, year 74 Ford Maverick (USA): mpg 21, cylinders 6, horsepower 72, weight 3,158, acceleration 19.5, year 75 Renault 12TL (Europe): mpg 27, cylinders 4, horsepower 75, weight 2,155, acceleration 14.5, year 76 Chevrolet Caprice (USA): mpg 17.5, cylinders 8, horsepower 145, weight 4,140, acceleration 13.7, year 77 Datsun 200SX (Japan): mpg 23.9, cylinders 4, horsepower 97, weight 2,405, acceleration 14.9, year 78 Saab 99GLE (Europe): mpg 21.6, cylinders 4, horsepower 115, weight 2,795, acceleration 15.7, year 78 Pontiac Phoenix (USA): mpg 33.5, cylinders 4, horsepower 88, weight 2,556, acceleration 13.6, year 78 Mercedes-Benz 300D (Europe): mpg 25.4, cylinders 5, horsepower 77, weight 3,530, acceleration 20.1, year 79 Oldsmobile Cutlass (USA): mpg 23.9, cylinders 8, horsepower 90, weight 3,420, acceleration 22.2, year 79 Mazda GLC (Japan): mpg 46.6, cylinders 4, horsepower 65, weight 2,110, acceleration 17.9, year 80 VW Rabbit Diesel (Europe): mpg 44.3, cylinders 4, horsepower 48, weight 2,085, acceleration 21.7, year 80 Toyota Cressida (Japan): mpg 25.4, cylinders 6, horsepower 116, weight 2,900, acceleration 12.6, year 81 Buick Skylark (USA): mpg 26.6, cylinders 4, horsepower 84, weight 2,635, acceleration 16.4, year 81 Honda Accord (Japan): mpg 36, cylinders 4, horsepower 88, weight 2,160, acceleration 14.5, year 82 Ford Ranger (USA): mpg 28, cylinders 4, horsepower 79, weight 2,625, acceleration 18.6, year 82 Peugeot 505S Turbo (Europe): mpg 28.1, cylinders 4, horsepower 80, weight 3,230, acceleration 20.4, year 81 Mpg 10 20 30 40 50 Cylinders 2 4 6 8 Horsepower 0 50 100 150 200 250 Weight 1,000 2,000 3,000 4,000 5,000 Acceleration 5 10 15 20 25 Year 70 75 80 85 Thirty-two cars, six measures parallel: an axis per measure, a line per car, coloured by origin.

Trees & packs

Parts of a hierarchy
The budget, in thousands Engineering › Salaries: 2,400; Engineering › Cloud: 680; Engineering › Tools: 210; Sales › Salaries: 1,350; Sales › Travel: 420; Sales › Events: 310; Marketing › Campaigns: 760; Marketing › Salaries: 640; Support › Salaries: 820; Support › Training: 140; Office › Rent: 560; Office › Facilities: 190 Engineering › Salaries: 2,400 Salaries 2,400 Engineering › Cloud: 680 Cloud 680 Engineering › Tools: 210 Tools 210 Sales › Salaries: 1,350 Salaries 1,350 Sales › Travel: 420 Travel 420 Sales › Events: 310 Events 310 Marketing › Campaigns: 760 Campaigns 760 Marketing › Salaries: 640 Salaries 640 Support › Salaries: 820 Salaries 820 Support › Training: 140 Office › Rent: 560 Rent 560 Office › Facilities: 190 Faci… 190 A company budget levels= nests the posts in their departments. Gigabytes per folder Photos: 184; Videos: 142; Music: 61; Projects: 48; Downloads: 37; Documents: 22; Games: 19; Mail: 8; Desktop: 4 Photos: 184 Photos 184 Videos: 142 Videos 142 Music: 61 Music 61 Projects: 48 Projects 48 Downloads: 37 Downloads 37 Documents: 22 Documents 22 Games: 19 Games 19 Mail: 8 Mail 8 Desktop: 4 Deskt… 4 What fills the disk A flat treemap: one level, one colour. The world population in millions Asia › Southern Asia: 2,030; Asia › Eastern Asia: 1,660; Asia › South-East Asia: 690; Asia › Western Asia: 300; Africa › Eastern Africa: 480; Africa › Western Africa: 440; Africa › Northern Africa: 260; Africa › Central Africa: 200; Europe › Eastern Europe: 290; Europe › Western Europe: 200; Europe › Southern Europe: 150; Americas › South America: 440; Americas › North America: 380; Americas › Central America: 185; Oceania › Australia and New Zealand: 32 Asia: 4,680 Africa: 1,380 Europe: 640 Americas: 1,005 Oceania: 32 Asia › Southern Asia: 2,030 Asia › Eastern Asia: 1,660 Asia › South-East Asia: 690 Asia › Western Asia: 300 Africa › Eastern Africa: 480 Africa › Western Africa: 440 Africa › Northern Africa: 260 Africa › Central Africa: 200 Europe › Eastern Europe: 290 Europe › Western Europe: 200 Europe › Southern Europe: 150 Americas › South America: 440 Americas › North America: 380 Americas › Central America: 185 Oceania › Australia and New Zealand: 32 7,737 The world's people A sunburst: continents inside, regions around them. The files of a project by folder, in kilobytes src › compiler: 62; src › parser: 48; src › runtime: 39; src › lexer: 31; src › cache: 12; src › errors: 9; src › util: 6; tests › fixtures: 55; tests › compiler: 41; tests › parser: 34; tests › runtime: 22; assets › screenshot: 96; assets › logo: 18; assets › style: 11; docs › reference: 44; docs › guide: 28; docs › changelog: 15; docs › faq: 7; tools › bench: 13; tools › release: 8; tools › build: 4 src tests assets docs tools src: 207 src › compiler: 62 compiler 62 src › parser: 48 parser 48 src › runtime: 39 runtime 39 src › lexer: 31 lexer 31 src › cache: 12 cache src › errors: 9 src › util: 6 tests: 152 tests › fixtures: 55 fixtures 55 tests › compiler: 41 compiler 41 tests › parser: 34 parser 34 tests › runtime: 22 runtime 22 assets: 125 assets › screenshot: 96 screenshot 96 assets › logo: 18 logo 18 assets › style: 11 docs: 94 docs › reference: 44 reference 44 docs › guide: 28 guide 28 docs › changelog: 15 docs › faq: 7 faq tools: 25 tools › bench: 13 bench tools › release: 8 tools › build: 4 The files of a project pack: circles in circles, a folder around its files, sized by kilobytes. Who reports to whom in a small software company Maria Jansen, Director; Tom de Vries, Engineering - under Maria Jansen; Sara Bakker, Sales - under Maria Jansen; Yusuf Demir, Finance - under Maria Jansen; Lena Visser, Backend lead - under Tom de Vries; Omar Haddad, Frontend lead - under Tom de Vries; Pieter Smit, Developer - under Lena Visser; Anouk Mulder, Developer - under Lena Visser; Ravi Kumar, Developer - under Omar Haddad; Eva Bos, Designer - under Omar Haddad; Daan Meijer, Account manager - under Sara Bakker; Julia Peters, Account manager - under Sara Bakker; Noor el Amrani, Controller - under Yusuf Demir; Kees Dekker, Tester - under Tom de Vries Maria Jansen, Director Maria Jansen Director Tom de Vries, Engineering - under Maria Jansen Tom de Vries Engineering Sara Bakker, Sales - under Maria Jansen Sara Bakker Sales Yusuf Demir, Finance - under Maria Jansen Yusuf Demir Finance Lena Visser, Backend lead - under Tom de Vries Lena Visser Backend lead Omar Haddad, Frontend lead - under Tom de Vries Omar Haddad Frontend lead Pieter Smit, Developer - under Lena Visser Pieter Smit Developer Anouk Mulder, Developer - under Lena Visser Anouk Mulder Developer Ravi Kumar, Developer - under Omar Haddad Ravi Kumar Developer Eva Bos, Designer - under Omar Haddad Eva Bos Designer Daan Meijer, Account manager - under Sara Bakker Daan Meijer Account manager Julia Peters, Account manager - under Sara Bakker Julia Peters Account manager Noor el Amrani, Controller - under Yusuf Demir Noor el Amrani Controller Kees Dekker, Tester - under Tom de Vries Kees Dekker Tester Who reports to whom orgchart: a box per person under their boss, the job title as a second line.

Sparkline

A chart the size of a word