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values | chart_type stringclasses 17
values | data_source stringclasses 1
value | title stringlengths 9 103 ⌀ | target stringlengths 606 9.9k |
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04502_07 | Bubble Chart | bubble | render | City Population vs GDP Bubble Chart | {"title": "City Population vs GDP Bubble Chart", "chartType": "bubble", "data": {"columns": [{"name": "Population", "type": "numeric", "unit": null, "role": "x"}, {"name": "GDP", "type": "numeric", "unit": "in trillions", "role": "y"}, {"name": "Series", "type": "categorical", "unit": null, "role": "color"}], "rows": [... | |
08595_14 | Multi-Axes Chart | combo | render | Temperature and Humidity Over Time | {"title": "Temperature and Humidity Over Time", "chartType": "combo", "data": {"columns": [{"name": "Date", "type": "temporal", "unit": null, "role": "x"}, {"name": "Temperature", "type": "numeric", "unit": null, "role": "series"}, {"name": "Humidity", "type": "numeric", "unit": null, "role": "series"}], "rows": [["202... | |
06135_09 | Ring Chart | pie | render | GDP of Major Economies | {"title": "GDP of Major Economies", "chartType": "pie", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["USA", 44.74], ["China", 29.97], ["Japan", 10.66], ["Germany", 8.7], ["France", 5.93... | |
06291_03 | Area Chart | area | render | Annual Unemployment Rate (2010-2019) | {"title": "Annual Unemployment Rate (2010-2019)", "chartType": "area", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Unemployment Rate", "type": "numeric", "unit": "%", "role": "y"}], "rows": [[2010, 9.7], [2011, 8.9], [2012, 8.5], [2013, 7.9], [2014, 7.2], [2015, 6.7],... | |
08775_14 | 3D Bar Chart | bar | render | 3D Bar Chart Example | {"title": "3D Bar Chart Example", "chartType": "bar", "data": {"columns": [{"name": "Categories", "type": "categorical", "unit": null, "role": "x"}, {"name": "Y-axis", "type": "numeric", "unit": null, "role": "y"}, {"name": "Values", "type": "numeric", "unit": null, "role": "z"}], "rows": [["Category 1", 0.4, 10], ["Ca... | |
13198 | null | line | render | Unemployment Rate Over Years | {"title": "Unemployment Rate Over Years", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Unemployment Rate", "type": "numeric", "unit": "%", "role": "y"}], "rows": [[1999, 3.33], [2000, 3.31], [2001, 3.36], [2002, 3.32], [2003, 3.27], [2004, 3.26], [... | |
05671_05 | Scatter Plot | scatter | render | GDP of Countries | {"title": "GDP of Countries", "chartType": "scatter", "data": {"columns": [{"name": "Country", "type": "categorical", "unit": null, "role": "x"}, {"name": "GDP", "type": "numeric", "unit": "in trillions", "role": "y"}], "rows": [["USA", 21.43], ["China", 14.36], ["Japan", 5.11], ["Germany", 4.17], ["India", 2.72]]}, "v... | |
04946_37 | Scatter Plot | scatter | render | Scatter Plot with Color Mapped to Angle | {"title": "Scatter Plot with Color Mapped to Angle", "chartType": "scatter", "data": {"columns": [{"name": "x", "type": "numeric", "unit": null, "role": "x"}, {"name": "y", "type": "numeric", "unit": null, "role": "y"}], "rows": [[0.4967, -1.415], [-0.1383, -0.4206], [0.6477, -0.3427], [1.523, -0.8023], [-0.2342, -0.16... | |
12058 | null | bar | render | Total Assets in billion U.S. dollars by Year | {"title": "Total Assets in billion U.S. dollars by Year", "chartType": "bar", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Total Assets", "type": "numeric", "unit": null, "role": "y"}], "rows": [[2009, 102], [2010, 112.71], [2011, 109.6], [2012, 155.59], [2013, 156.92]... | |
00236_15 | Histogram | histogram | render | Population Growth of Different Cities (2016-2021) | {"title": "Population Growth of Different Cities (2016-2021)", "chartType": "histogram", "data": {"columns": [{"name": "Bin", "type": "numeric", "unit": null, "role": "x"}, {"name": "Bin start", "type": "numeric", "unit": null, "role": "series"}, {"name": "Bin end", "type": "numeric", "unit": null, "role": "series"}, {... | |
00484_28 | Box Plot | box | render | Annual Temperature Distribution of Two Countries | {"title": "Annual Temperature Distribution of Two Countries", "chartType": "box", "data": {"columns": [{"name": "Countries", "type": "numeric", "unit": null, "role": "x"}, {"name": "Min", "type": "numeric", "unit": null, "role": "series"}, {"name": "Q1", "type": "numeric", "unit": null, "role": "series"}, {"name": "Med... | |
09371_01 | Bar Chart | bar | render | Number of Users Over Quarters | {"title": "Number of Users Over Quarters", "chartType": "bar", "data": {"columns": [{"name": "Quarter", "type": "categorical", "unit": null, "role": "x"}, {"name": "Number of users", "type": "numeric", "unit": "thousands", "role": "y"}], "rows": [["Q1 2015", 250.3], ["Q2 2015", 265.7], ["Q3 2015", 280.9], ["Q4 2015", 2... | |
02421_01 | Line Chart | line | render | Global Temperature Change Over Time | {"title": "Global Temperature Change Over Time", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Temperature Change", "type": "numeric", "unit": "°C", "role": "y"}], "rows": [[1880, 0.19], [1890, 0.22], [1900, 0.33], [1910, 0.41], [1920, 0.42], [1930,... | |
10153_07 | Rose Chart | bar | render | Weekly Activity Distribution | {"title": "Weekly Activity Distribution", "chartType": "bar", "data": {"columns": [{"name": "Activity", "type": "categorical", "unit": null, "role": "x"}, {"name": "Hours", "type": "numeric", "unit": null, "role": "y"}], "rows": [["Sports", 3], ["Reading", 5], ["Cooking", 2], ["Gaming", 4], ["Travel", 6]]}, "valueRepre... | |
00484_01 | Bar Chart | bar | render | Number of Employees in Tech Industry Over the Years | {"title": "Number of Employees in Tech Industry Over the Years", "chartType": "bar", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Number of Employees", "type": "numeric", "unit": null, "role": "y"}], "rows": [[2000, 5000], [2005, 6000], [2010, 7000], [2015, 8000], [202... | |
03842_28 | Line Chart | line | render | Yearly Sales and Expenses | {"title": "Yearly Sales and Expenses", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Sales", "type": "numeric", "unit": null, "role": "series"}, {"name": "Expenses", "type": "numeric", "unit": null, "role": "series"}], "rows": [[2018, 50000, 35000],... | |
11493_11 | Bubble Chart | bubble | render | Popularity and Experience of Programming Languages | {"title": "Popularity and Experience of Programming Languages", "chartType": "bubble", "data": {"columns": [{"name": "Popularity", "type": "numeric", "unit": null, "role": "x"}, {"name": "Experience", "type": "numeric", "unit": null, "role": "y"}, {"name": "Language", "type": "categorical", "unit": null, "role": "color... | |
08595_30 | Line Chart | line | render | Monthly Temperature in a City | {"title": "Monthly Temperature in a City", "chartType": "line", "data": {"columns": [{"name": "Months", "type": "categorical", "unit": null, "role": "x"}, {"name": "Temperature", "type": "numeric", "unit": "°C", "role": "y"}], "rows": [["Jan", 15], ["Feb", 17], ["Mar", 20], ["Apr", 25], ["May", 30], ["Jun", 32], ["Jul"... | |
02718_19 | Ring Chart | pie | render | Project Task Distribution | {"title": "Project Task Distribution", "chartType": "pie", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["Design", 19.61], ["Coding", 29.41], ["Testing", 15.69], ["Deployment", 11.76], [... | |
08344_02 | Scatter Plot | scatter | render | Sales Over Months | {"title": "Sales Over Months", "chartType": "scatter", "data": {"columns": [{"name": "Month", "type": "categorical", "unit": null, "role": "x"}, {"name": "Sales in million USD", "type": "numeric", "unit": null, "role": "y"}], "rows": [["Jan", 15], ["Feb", 18], ["Mar", 22], ["Apr", 25], ["May", 27], ["Jun", 28], ["Jul",... | |
05277_17 | Funnel Chart | funnel | render | Sales Funnel | {"title": "Sales Funnel", "chartType": "funnel", "data": {"columns": [{"name": "Stage", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["Stage 1", 61], ["Stage 2", 24], ["Stage 3", 81], ["Stage 4", 70], ["Stage 5", 30], ["Stage 6"... | |
13342_13 | Violin Plot | violin | render | Temperature Distribution by Weather Condition | {"title": "Temperature Distribution by Weather Condition", "chartType": "violin", "data": {"columns": [{"name": "Weather Condition", "type": "categorical", "unit": null, "role": "x"}, {"name": "Min", "type": "numeric", "unit": null, "role": "series"}, {"name": "Q1", "type": "numeric", "unit": null, "role": "series"}, {... | |
08151_01 | Bar Chart | bar | render | Product Sales Over Quarters | {"title": "Product Sales Over Quarters", "chartType": "bar", "data": {"columns": [{"name": "Quarter", "type": "categorical", "unit": null, "role": "x"}, {"name": "Product Sales", "type": "numeric", "unit": null, "role": "y"}], "rows": [["Q1 2020", 120], ["Q2 2020", 150], ["Q3 2020", 135], ["Q4 2020", 160], ["Q1 2021", ... | |
06110_41 | Line Chart | line | render | Monthly Precipitation in a Region (in mm) | {"title": "Monthly Precipitation in a Region (in mm)", "chartType": "line", "data": {"columns": [{"name": "Months", "type": "categorical", "unit": null, "role": "x"}, {"name": "Precipitation", "type": "numeric", "unit": null, "role": "y"}], "rows": [["Jan", 10], ["Feb", 12], ["Mar", 15], ["Apr", 20], ["May", 25], ["Jun... | |
14136_16 | Ring Chart | pie | render | Population Distribution | {"title": "Population Distribution", "chartType": "pie", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["USA", 56.52], ["Canada", 6.44], ["Germany", 14.31], ["UK", 11.59], ["France", 11.1... | |
05393_23 | Area Chart | area | render | Monthly Sales | {"title": "Monthly Sales", "chartType": "area", "data": {"columns": [{"name": "Month", "type": "categorical", "unit": null, "role": "x"}, {"name": "Sales", "type": "numeric", "unit": null, "role": "y"}], "rows": [["January", 1000], ["February", 1500], ["March", 2000], ["April", 2500], ["May", 3000]]}, "valueRepresentat... | |
08202_19 | Line Chart | line | render | Daily Temperature Variation | {"title": "Daily Temperature Variation", "chartType": "line", "data": {"columns": [{"name": "Day", "type": "temporal", "unit": null, "role": "x"}, {"name": "Temperature", "type": "numeric", "unit": null, "role": "y"}], "rows": [[1, 20], [2, 22], [3, 23], [4, 25], [5, 27], [6, 28], [7, 29], [8, 28], [9, 27], [10, 26], [... | |
08217_03 | Heatmap | heatmap | render | Annual Profit of Products | {"title": "Annual Profit of Products", "chartType": "heatmap", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Product A", "type": "numeric", "unit": null, "role": "series"}, {"name": "Product B", "type": "numeric", "unit": null, "role": "series"}, {"name": "Product C", "... | |
11160_01 | Bar Chart | bar | render | Unemployment Rate from 2000 to 2020 | {"title": "Unemployment Rate from 2000 to 2020", "chartType": "bar", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Unemployment Rate", "type": "numeric", "unit": null, "role": "y"}], "rows": [[2000, 5], [2001, 4.9], [2002, 4.8], [2003, 4.7], [2004, 4.6], [2005, 4.5], [2... | |
00333_06 | Box Plot | box | render | Temperature Variation of Cities (2015-2020) | {"title": "Temperature Variation of Cities (2015-2020)", "chartType": "box", "data": {"columns": [{"name": "Cities", "type": "categorical", "unit": null, "role": "x"}, {"name": "Min", "type": "numeric", "unit": null, "role": "series"}, {"name": "Q1", "type": "numeric", "unit": null, "role": "series"}, {"name": "Median"... | |
10301_07 | Treemap | treemap | render | Distribution of Fruits in a Basket | {"title": "Distribution of Fruits in a Basket", "chartType": "treemap", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Share", "type": "numeric", "unit": "%", "role": "value"}], "rows": [["Apples", 30], ["Bananas", 25], ["Grapes", 20], ["Oranges", 15], ["Ma... | |
04893_08 | Rose Chart | bar | render | Distribution of Values Across Categories | {"title": "Distribution of Values Across Categories", "chartType": "bar", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "x"}, {"name": "Value", "type": "numeric", "unit": null, "role": "y"}], "rows": [["CategoryI", 40], ["CategoryJ", 30], ["CategoryK", 20], ["CategoryL", 10]]}, ... | |
08737 | null | bar | render | Export Value in Indian Rupees Over Years | {"title": "Export Value in Indian Rupees Over Years", "chartType": "bar", "data": {"columns": [{"name": "Year", "type": "categorical", "unit": null, "role": "x"}, {"name": "Export value in billion Indian Rupees", "type": "numeric", "unit": null, "role": "y"}], "rows": [["FY 2011", 35], ["FY 2012", 45], ["FY 2013", 53],... | |
11111_12 | 3D Bar Chart | bar | render | Population Distribution | {"title": "Population Distribution", "chartType": "bar", "data": {"columns": [{"name": "X", "type": "categorical", "unit": null, "role": "x"}, {"name": "Value", "type": "numeric", "unit": null, "role": "y"}], "rows": [["USA", 331002651], ["Canada", 37742154], ["Germany", 83783942], ["France", 67391589], ["UK", 67215293... | |
01339_20 | Area Chart | area | render | Sales and Expenses Over the Months | {"title": "Sales and Expenses Over the Months", "chartType": "area", "data": {"columns": [{"name": "Month", "type": "categorical", "unit": null, "role": "x"}, {"name": "Sales", "type": "numeric", "unit": null, "role": "series"}, {"name": "Expenses", "type": "numeric", "unit": null, "role": "series"}], "rows": [["Jan", ... | |
02435_18 | Funnel Chart | funnel | render | Sales Funnel | {"title": "Sales Funnel", "chartType": "funnel", "data": {"columns": [{"name": "Stage", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["Leads", 100], ["Interested", 75], ["Quote Sent", 50], ["Negotiation", 25], ["Won", 10]]}, "va... | |
09858_06 | Heatmap | heatmap | render | GDP Growth Rate of Major Countries (2016-2020) | {"title": "GDP Growth Rate of Major Countries (2016-2020)", "chartType": "heatmap", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "USA", "type": "numeric", "unit": null, "role": "series"}, {"name": "China", "type": "numeric", "unit": null, "role": "series"}, {"name": "In... | |
07777_02 | Heatmap | heatmap | render | Electric Vehicle Sales by Company from 2013 to 2019 | {"title": "Electric Vehicle Sales by Company from 2013 to 2019", "chartType": "heatmap", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Tesla", "type": "numeric", "unit": null, "role": "series"}, {"name": "Ford", "type": "numeric", "unit": null, "role": "series"}, {"name... | |
12234_25 | Scatter Plot | scatter | render | Monthly Sales Trend | {"title": "Monthly Sales Trend", "chartType": "scatter", "data": {"columns": [{"name": "Month", "type": "categorical", "unit": null, "role": "x"}, {"name": "Sales", "type": "numeric", "unit": null, "role": "y"}], "rows": [["January", 5000], ["February", 6500], ["March", 7200], ["April", 8000], ["May", 9000]]}, "valueRe... | |
02718_32 | Line Chart | line | render | Yearly Average Temperature | {"title": "Yearly Average Temperature", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Temperature", "type": "numeric", "unit": "°C", "role": "y"}], "rows": [[2010, 20], [2011, 22], [2012, 23], [2013, 24], [2014, 25], [2015, 24], [2016, 23], [2017, 2... | |
11467_42 | Scatter Plot | scatter | render | Monthly Rainfall Distribution | {"title": "Monthly Rainfall Distribution", "chartType": "scatter", "data": {"columns": [{"name": "Month", "type": "temporal", "unit": null, "role": "x"}, {"name": "Rainfall", "type": "numeric", "unit": "mm", "role": "y"}], "rows": [[1, 57.45], [2, 47.93], [3, 59.72], [4, 72.85], [5, 46.49], [6, 46.49], [7, 73.69], [8, ... | |
09646_02 | Scatter Plot | scatter | render | Monthly Temperature Variation | {"title": "Monthly Temperature Variation", "chartType": "scatter", "data": {"columns": [{"name": "Month", "type": "categorical", "unit": null, "role": "x"}, {"name": "Temperature", "type": "numeric", "unit": "°C", "role": "y"}], "rows": [["Jan", 12], ["Feb", 14], ["Mar", 16], ["Apr", 19], ["May", 22], ["Jun", 25], ["Ju... | |
07465_21 | Box Plot | box | render | Box Plot of Exam Scores | {"title": "Box Plot of Exam Scores", "chartType": "box", "data": {"columns": [{"name": "Group", "type": "numeric", "unit": null, "role": "x"}, {"name": "Min", "type": "numeric", "unit": null, "role": "series"}, {"name": "Q1", "type": "numeric", "unit": null, "role": "series"}, {"name": "Median", "type": "numeric", "uni... | |
00317_05 | Box Plot | box | render | Monthly Sales of Electronic Devices | {"title": "Monthly Sales of Electronic Devices", "chartType": "box", "data": {"columns": [{"name": "Product", "type": "categorical", "unit": null, "role": "x"}, {"name": "Min", "type": "numeric", "unit": null, "role": "series"}, {"name": "Q1", "type": "numeric", "unit": null, "role": "series"}, {"name": "Median", "type... | |
03213_24 | Scatter Plot | scatter | render | Random Scatter Plot | {"title": "Random Scatter Plot", "chartType": "scatter", "data": {"columns": [{"name": "X Values", "type": "numeric", "unit": null, "role": "x"}, {"name": "Y Values", "type": "numeric", "unit": null, "role": "y"}], "rows": [[1.764, 1.883], [0.4002, -1.348], [0.9787, -1.27], [2.241, 0.9694], [1.868, -1.173], [-0.9773, 1... | |
05030_00_4 | Ring Chart | pie | render | Preferred Sports Among People | {"title": "Preferred Sports Among People", "chartType": "pie", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["Soccer", 35.0], ["Cricket", 25.0], ["Basketball", 20.0], ["Tennis", 15.0], [... | |
08742_12 | Line Chart | line | render | Temperature and Rainfall Over the Years | {"title": "Temperature and Rainfall Over the Years", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Temperature", "type": "numeric", "unit": "°C", "role": "series"}, {"name": "Rainfall", "type": "numeric", "unit": "mm", "role": "series"}], "rows": [[... | |
02130_13 | Grouped Bar Chart | bar | render | Renewable Energy Production by Source | {"title": "Renewable Energy Production by Source", "chartType": "bar", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Wind Energy Production", "type": "numeric", "unit": "TWh", "role": "series"}, {"name": "Hydro Energy Production", "type": "numeric", "unit": "TWh", "role... | |
02615 | null | pie | render | Opinion Distribution | {"title": "Opinion Distribution", "chartType": "pie", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["Definitely positive", 11.22], ["Definitely negative", 26.53], ["Rather positive", 8.1... | |
05915_00 | Line Chart | line | render | Annual Growth in Average Income | {"title": "Annual Growth in Average Income", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Annual Growth in Average Income", "type": "numeric", "unit": null, "role": "y"}], "rows": [[2010, 5.2], [2011, 6.1], [2012, 2.3], [2013, 1.5], [2014, 3.7], [2... | |
02361_13 | Multi-Axes Chart | combo | render | Weather Conditions Over Time | {"title": "Weather Conditions Over Time", "chartType": "combo", "data": {"columns": [{"name": "Time", "type": "temporal", "unit": null, "role": "x"}, {"name": "Temperature", "type": "numeric", "unit": "°C", "role": "series"}, {"name": "Humidity", "type": "numeric", "unit": "%", "role": "series"}, {"name": "Pressure", "... | |
08595_01 | Line Chart | line | render | Tech Salary Trend by Gender | {"title": "Tech Salary Trend by Gender", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Male", "type": "numeric", "unit": null, "role": "series"}, {"name": "Female", "type": "numeric", "unit": null, "role": "series"}], "rows": [[2010, 1.2, 1], [2011,... | |
05474_08 | Pie Chart | pie | render | Fruit Quantity | {"title": "Fruit Quantity", "chartType": "pie", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["Apples", 30], ["Bananas", 25], ["Cherries", 20], ["Dates", 15], ["Elderberries", 10]]}, "va... | |
07037 | null | line | render | Price Index Over Years | {"title": "Price Index Over Years", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Price Index", "type": "numeric", "unit": null, "role": "y"}], "rows": [[1994, 93.3], [1995, 72.1], [1996, 39], [1997, 84.5], [1998, 87], [1999, 60.4], [2000, 80.7], [2... | |
10124_11 | Stacked Bar Chart | bar | render | Environmental Trends | {"title": "Environmental Trends", "chartType": "bar", "data": {"columns": [{"name": "Years", "type": "numeric", "unit": null, "role": "x"}, {"name": "Wind Speed", "type": "numeric", "unit": "m/s", "role": "series"}, {"name": "Sunshine Hours", "type": "numeric", "unit": null, "role": "series"}, {"name": "CO2 Emissions",... | |
02367_30 | Bar Chart | bar | render | GDP Distribution by Country | {"title": "GDP Distribution by Country", "chartType": "bar", "data": {"columns": [{"name": "Country", "type": "categorical", "unit": null, "role": "x"}, {"name": "GDP", "type": "numeric", "unit": null, "role": "y"}], "rows": [["USA", 21.44], ["China", 14.72], ["Japan", 5.11], ["Germany", 4.17], ["India", 2.87]]}, "valu... | |
12532_00 | Line Chart | line | render | Number of Accidents per Year | {"title": "Number of Accidents per Year", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Number of accidents", "type": "numeric", "unit": null, "role": "y"}], "rows": [[2005, 1200], [2006, 1150], [2007, 1100], [2008, 1050], [2009, 980], [2010, 950], ... | |
05030_09 | Bubble Chart | bubble | render | GDP, Life Expectancy, and Population of Countries | {"title": "GDP, Life Expectancy, and Population of Countries", "chartType": "bubble", "data": {"columns": [{"name": "GDP", "type": "categorical", "unit": "in trillions", "role": "x"}, {"name": "Life Expectancy", "type": "numeric", "unit": "in years", "role": "y"}, {"name": "Country", "type": "categorical", "unit": null... | |
08536_01 | Line Chart | line | render | Unemployment Rate Over the Years | {"title": "Unemployment Rate Over the Years", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Unemployment Rate", "type": "numeric", "unit": "%", "role": "y"}], "rows": [[2010, 8.5], [2011, 8.3], [2012, 8.1], [2013, 7.8], [2014, 7.5], [2015, 7.2], [20... | |
07886_14 | 3D Bar Chart | bar | render | 3D Bar Chart of Values Over Time | {"title": "3D Bar Chart of Values Over Time", "chartType": "bar", "data": {"columns": [{"name": "X", "type": "categorical", "unit": null, "role": "x"}, {"name": "Value", "type": "numeric", "unit": null, "role": "y"}], "rows": [["A", 10], ["B", 15], ["C", 7], ["D", 12]]}, "valueRepresentation": {"mode": "absolute", "for... | |
09617_00 | Line Chart | line | render | Number of Devices Sold Over Years | {"title": "Number of Devices Sold Over Years", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Number of devices sold in millions", "type": "numeric", "unit": null, "role": "y"}], "rows": [[2016, 1930], [2017, 2010], [2018, 2130], [2019, 2280], [2020,... | |
09131_09 | Bubble Chart | bubble | render | Yearly Value Trend with Size | {"title": "Yearly Value Trend with Size", "chartType": "bubble", "data": {"columns": [{"name": "Date", "type": "temporal", "unit": null, "role": "x"}, {"name": "Value", "type": "numeric", "unit": null, "role": "series"}, {"name": "Size", "type": "numeric", "unit": null, "role": "series"}], "rows": [["1975-07-09", 10, 5... | |
03801_34 | Pie Chart | pie | render | GDP of Largest Economies | {"title": "GDP of Largest Economies", "chartType": "pie", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["USA", 45.24], ["China", 30.23], ["India", 5.71], ["Japan", 10.57], ["Germany", 8.... | |
04143_26 | Box Plot | box | render | Salary Distribution of Employees | {"title": "Salary Distribution of Employees", "chartType": "box", "data": {"columns": [{"name": "Salary", "type": "categorical", "unit": null, "role": "x"}, {"name": "Min", "type": "numeric", "unit": null, "role": "series"}, {"name": "Q1", "type": "numeric", "unit": null, "role": "series"}, {"name": "Median", "type": "... | |
02018_11 | Funnel Chart | funnel | render | Popularity of Python Web Frameworks | {"title": "Popularity of Python Web Frameworks", "chartType": "funnel", "data": {"columns": [{"name": "Stage", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["Django", 35], ["Flask", 25], ["FastAPI", 20], ["Tornado", 15], ["Bottl... | |
09474_08 | Bubble Chart | bubble | render | GDP, Life Expectancy, and Population of Countries (2021) | {"title": "GDP, Life Expectancy, and Population of Countries (2021)", "chartType": "bubble", "data": {"columns": [{"name": "GDP", "type": "numeric", "unit": null, "role": "x"}, {"name": "Life Expectancy", "type": "numeric", "unit": null, "role": "y"}, {"name": "Series", "type": "categorical", "unit": null, "role": "col... | |
06601 | null | bar | render | Industry Contribution to Real Value Added in 2012 | {"title": "Industry Contribution to Real Value Added in 2012", "chartType": "bar", "data": {"columns": [{"name": "Industry", "type": "categorical", "unit": null, "role": "x"}, {"name": "Real value added in billion chained (2012) U.S. dollars", "type": "numeric", "unit": null, "role": "y"}], "rows": [["Finance, insuranc... | |
06314 | null | bar | render | Number of Crimes by Category | {"title": "Number of Crimes by Category", "chartType": "bar", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "x"}, {"name": "Number of crimes", "type": "numeric", "unit": null, "role": "y"}], "rows": [["Child abuse within the family", 2101], ["Violation of family obligations", 63... | |
02361_12 | Violin Plot | violin | render | Distribution of Values Across Categories | {"title": "Distribution of Values Across Categories", "chartType": "violin", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "x"}, {"name": "Min", "type": "numeric", "unit": null, "role": "series"}, {"name": "Q1", "type": "numeric", "unit": null, "role": "series"}, {"name": "Media... | |
13851_19 | Line Chart | line | render | Yearly Sales, Expenses, and Profit | {"title": "Yearly Sales, Expenses, and Profit", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Sales", "type": "numeric", "unit": null, "role": "series"}, {"name": "Expenses", "type": "numeric", "unit": null, "role": "series"}, {"name": "Profit", "ty... | |
00037_00 | Bar Chart | bar | render | Life satisfaction and stress levels over the years | {"title": "Life satisfaction and stress levels over the years", "chartType": "bar", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Happy with life", "type": "numeric", "unit": null, "role": "series"}, {"name": "Stressed out", "type": "numeric", "unit": null, "role": "ser... | |
14050 | null | bar | render | Number of Suicides per Year | {"title": "Number of Suicides per Year", "chartType": "bar", "data": {"columns": [{"name": "X", "type": "numeric", "unit": null, "role": "x"}, {"name": "Number of suicides", "type": "numeric", "unit": null, "role": "y"}], "rows": [[2006, 1934], [2007, 1856], [2008, 2000], [2009, 2013], [2010, 2003], [2011, 2084], [2012... | |
12532_01 | Bar Chart | bar | render | Number of Sales per Month | {"title": "Number of Sales per Month", "chartType": "bar", "data": {"columns": [{"name": "Month", "type": "categorical", "unit": null, "role": "x"}, {"name": "Number of sales", "type": "numeric", "unit": null, "role": "y"}], "rows": [["Jan", 120], ["Feb", 150], ["Mar", 130], ["Apr", 160], ["May", 180], ["Jun", 200], ["... | |
08172_06 | Bubble Chart | bubble | render | City Population and GDP | {"title": "City Population and GDP", "chartType": "bubble", "data": {"columns": [{"name": "Population", "type": "numeric", "unit": null, "role": "x"}, {"name": "GDP", "type": "numeric", "unit": "in trillions", "role": "y"}], "rows": [[8550000, 1.923], [8982000, 1.618], [13960000, 4.167], [5312000, 0.904], [2141000, 1.1... | |
06740_00 | Scatter Plot | scatter | render | Medals Won by Olympic Athletes | {"title": "Medals Won by Olympic Athletes", "chartType": "scatter", "data": {"columns": [{"name": "Medals Won", "type": "numeric", "unit": null, "role": "x"}, {"name": "Sport", "type": "categorical", "unit": null, "role": "color"}], "rows": [[39, "Cycling"], [36, "Swimming"], [27, "Running"], [26, "Gymnastics"], [24, "... | |
07260_23 | Line Chart | line | render | Global CO2 Emissions Over Time | {"title": "Global CO2 Emissions Over Time", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "CO2 Emissions", "type": "numeric", "unit": "Million Tonnes", "role": "y"}], "rows": [[1900, 1], [1910, 1.2], [1920, 1.5], [1930, 2], [1940, 2.5], [1950, 3], [1... | |
02367_24 | Histogram | bar | render | Distribution of People by Age Group | {"title": "Distribution of People by Age Group", "chartType": "bar", "data": {"columns": [{"name": "Age", "type": "categorical", "unit": null, "role": "x"}, {"name": "Number of People", "type": "numeric", "unit": null, "role": "y"}], "rows": [["20-29", 50], ["30-39", 75], ["40-49", 100], ["50-59", 80], ["60-69", 60]]},... | |
00055_02 | Scatter Plot | scatter | render | Population and GDP of Countries over the Years | {"title": "Population and GDP of Countries over the Years", "chartType": "scatter", "data": {"columns": [{"name": "Population", "type": "numeric", "unit": "Millions", "role": "x"}, {"name": "GDP", "type": "numeric", "unit": "Billions", "role": "y"}, {"name": "Year", "type": "temporal", "unit": null, "role": "color"}], ... | |
13939_03 | Treemap | treemap | render | Programming Language Usage | {"title": "Programming Language Usage", "chartType": "treemap", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Share", "type": "numeric", "unit": "%", "role": "value"}], "rows": [["Python", 35], ["Java", 25], ["JavaScript", 20], ["C++", 15], ["R", 5]]}, "va... | |
06762_06 | Area Chart | area | render | Monthly Sales Distribution of Various Fruits | {"title": "Monthly Sales Distribution of Various Fruits", "chartType": "area", "data": {"columns": [{"name": "Months", "type": "categorical", "unit": null, "role": "x"}, {"name": "Apples", "type": "numeric", "unit": null, "role": "series"}, {"name": "Bananas", "type": "numeric", "unit": null, "role": "series"}, {"name"... | |
12058_02 | Scatter Plot | scatter | render | Total Revenue in million U.S. dollars by Year | {"title": "Total Revenue in million U.S. dollars by Year", "chartType": "scatter", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Total revenue in million U.S. dollars", "type": "numeric", "unit": null, "role": "y"}], "rows": [[2009, 120], [2010, 135.7], [2011, 145.6], [... | |
04143_16 | Pie Chart | pie | render | Project Time Allocation | {"title": "Project Time Allocation", "chartType": "pie", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["Design", 30], ["Coding", 45], ["Testing", 15], ["Deployment", 10]]}, "valueReprese... | |
05133_24 | Stacked Bar Chart | bar | render | Company Profit and Loss Over the Months | {"title": "Company Profit and Loss Over the Months", "chartType": "bar", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "x"}, {"name": "Profit", "type": "numeric", "unit": null, "role": "series"}, {"name": "Loss", "type": "numeric", "unit": null, "role": "series"}], "rows": [["Ja... | |
08630_13 | Box Plot | box | render | Salary Distribution by Department | {"title": "Salary Distribution by Department", "chartType": "box", "data": {"columns": [{"name": "", "type": "categorical", "unit": "Department", "role": "x"}, {"name": "Min", "type": "numeric", "unit": null, "role": "series"}, {"name": "Q1", "type": "numeric", "unit": null, "role": "series"}, {"name": "Median", "type"... | |
01788_01 | Bar Chart | bar | render | Number of Cars Sold by Month | {"title": "Number of Cars Sold by Month", "chartType": "bar", "data": {"columns": [{"name": "Month", "type": "categorical", "unit": null, "role": "x"}, {"name": "Number of Cars Sold", "type": "numeric", "unit": null, "role": "y"}], "rows": [["January", 100], ["February", 120], ["March", 150], ["April", 180], ["May", 20... | |
13851_09 | Ring Chart | pie | render | Popularity of Programming Languages | {"title": "Popularity of Programming Languages", "chartType": "pie", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["Python", 35], ["Java", 25], ["C++", 15], ["JavaScript", 10], ["C#", 8]... | |
05418_15 | Radar Chart | radar | render | Proficiency in Different Skills | {"title": "Proficiency in Different Skills", "chartType": "radar", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["Python", 90], ["Data Analysis", 85], ["Machine Learning", 75], ["Web Dev... | |
03934 | null | bar | render | Number of registered names in thousands by Surname | {"title": "Number of registered names in thousands by Surname", "chartType": "bar", "data": {"columns": [{"name": "Surname", "type": "categorical", "unit": null, "role": "x"}, {"name": "Number of registered names in thousands", "type": "numeric", "unit": null, "role": "y"}], "rows": [["Nowak", 100.62], ["Kowalski", 68.... | |
13356_24 | Heatmap | heatmap | render | Heatmap of Random Data | {"title": "Heatmap of Random Data", "chartType": "heatmap", "data": {"columns": [{"name": "Row", "type": "numeric", "unit": null, "role": "x"}, {"name": "0", "type": "numeric", "unit": null, "role": "series"}, {"name": "1", "type": "numeric", "unit": null, "role": "series"}, {"name": "2", "type": "numeric", "unit": nul... | |
05251_07 | Area Chart | area | render | Life Expectancy and GDP per Capita Area Chart | {"title": "Life Expectancy and GDP per Capita Area Chart", "chartType": "area", "data": {"columns": [{"name": "Country", "type": "categorical", "unit": null, "role": "x"}, {"name": "Life Expectancy", "type": "numeric", "unit": "years", "role": "series"}, {"name": "GDP per Capita", "type": "numeric", "unit": "USD", "rol... | |
00449_34 | Area Chart | area | render | Annual Profit Trend | {"title": "Annual Profit Trend", "chartType": "area", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Profit", "type": "numeric", "unit": null, "role": "y"}], "rows": [[2015, 13530], [2016, 10800], [2017, 11960], [2018, 14480], [2019, 13740], [2020, 8045]]}, "valueReprese... | |
02283_06 | Heatmap | heatmap | render | Hourly Temperature Variation in a Day (Monthly) | {"title": "Hourly Temperature Variation in a Day (Monthly)", "chartType": "heatmap", "data": {"columns": [{"name": "Hours", "type": "numeric", "unit": null, "role": "x"}, {"name": "1", "type": "numeric", "unit": null, "role": "series"}, {"name": "2", "type": "numeric", "unit": null, "role": "series"}, {"name": "3", "ty... | |
08074_02 | Scatter Plot | scatter | render | Sales in million U.S. dollars by Year | {"title": "Sales in million U.S. dollars by Year", "chartType": "scatter", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Sales in million U.S. dollars", "type": "numeric", "unit": null, "role": "y"}], "rows": [[2010, 120], [2011, 150], [2012, 180], [2013, 200], [2014, 1... | |
01377_15 | Histogram | histogram | render | Monthly Sales Distribution | {"title": "Monthly Sales Distribution", "chartType": "histogram", "data": {"columns": [{"name": "Bin", "type": "numeric", "unit": null, "role": "x"}, {"name": "Bin start", "type": "numeric", "unit": null, "role": "series"}, {"name": "Bin end", "type": "numeric", "unit": null, "role": "series"}, {"name": "Frequency", "t... | |
10901_22 | Line Chart | line | render | Yearly Average Temperature | {"title": "Yearly Average Temperature", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Temperature", "type": "numeric", "unit": "°C", "role": "y"}], "rows": [[2010, 15], [2011, 16], [2012, 18], [2013, 20], [2014, 22], [2015, 24], [2016, 23], [2017, 2... | |
08680_08 | Pie Chart | pie | render | World Population Distribution | {"title": "World Population Distribution", "chartType": "pie", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["USA", 8.32], ["India", 34.67], ["China", 36.16], ["Brazil", 5.34], ["Russia"... | |
11493_23 | Box Plot | box | render | Daily Temperature Distribution | {"title": "Daily Temperature Distribution", "chartType": "box", "data": {"columns": [{"name": "Group", "type": "numeric", "unit": null, "role": "x"}, {"name": "Min", "type": "numeric", "unit": null, "role": "series"}, {"name": "Q1", "type": "numeric", "unit": null, "role": "series"}, {"name": "Median", "type": "numeric... | |
00842_15 | 3D Line Chart | line | render | Value Distribution by Product and Date | {"title": "Value Distribution by Product and Date", "chartType": "line", "data": {"columns": [{"name": "Date", "type": "temporal", "unit": null, "role": "x"}, {"name": "Product", "type": "categorical", "unit": null, "role": "y"}, {"name": "Value", "type": "numeric", "unit": null, "role": "z"}], "rows": [["2015-01-01", ... | |
02374_24 | Pie Chart | pie | render | Budget Allocation by Department | {"title": "Budget Allocation by Department", "chartType": "pie", "data": {"columns": [{"name": "Category", "type": "categorical", "unit": null, "role": "category"}, {"name": "Value", "type": "numeric", "unit": null, "role": "value"}], "rows": [["Marketing", 40], ["Development", 30], ["Customer Service", 15], ["Human Re... | |
01788_00 | Line Chart | line | render | Number of Bicycles Sold Over the Years | {"title": "Number of Bicycles Sold Over the Years", "chartType": "line", "data": {"columns": [{"name": "Year", "type": "temporal", "unit": null, "role": "x"}, {"name": "Number of Bicycles Sold", "type": "numeric", "unit": null, "role": "y"}], "rows": [[2015, 1000], [2016, 1200], [2017, 1500], [2018, 1800], [2019, 2000]... |
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