Skip to main content
SimilarExport ZIP
100%

Task_8_Q4

✓ Published0🌍 Public
DDipesh
Last edited Apr 13, 2024
Created on Apr 13, 2024
Forked from Activity 6_Task 4

This bubble chart displays the population of the first ten countries from a CSV dataset, with each circle’s position on the x-axis representing the country and the y-axis showing population value, while the radius and color encode the same population figure and the country’s numeric code, respectively. A categorical color legend maps country codes to distinct hues. Built with D3 v7, the visualization uses `d3.csv` for loading data, `scaleBand` and `scaleLinear` for axes, `scaleSqrt` for circle size, and `scaleOrdinal` with `d3.schemeCategory10` for coloring. SVG rendering includes rotated country labels on the bottom axis, a left population axis, chart titles, and a custom legend.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Task_8_Q1.1

This bar chart displays the population of ten countries in the year 2000, using horizontal bars sorted by country name. The visualization is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Population values are parsed from a CSV file and formatted with D3's `format` function, converting values to billions. The chart includes custom axis components and uses SVG rectangles with tooltips showing the precise population for each country.

DDipesh
86% match
Loading thumbnail…

Task_8_Q1.2

A bar chart displays the population of 20 countries in 2010, sorted by country name along the y-axis and population magnitude along the x-axis. The chart uses React and D3 v5, with `scaleBand` and `scaleLinear` for ordinal and numeric axes, respectively. Data is loaded as CSV from a GitHub repository using `d3.csv`, and values are formatted with `d3.format`. Marks are rendered as SVG rectangles, with tooltips showing population values in a compact, abbreviated format. Axis ticks and labels are styled via custom React components.

DDipesh
84% match
Loading thumbnail…

Task8_Q3)

This scatter plot visualizes each country's population in 2024, with countries on the y-axis and population on the x-axis. It uses the D3.js library (v7) to load data from a CSV file, then renders circles with colors from `d3.schemeCategory10`. The visualization includes interactive hover effects that enlarge the dots and display the country name, alongside axes, and a legend built from the categorical colors. The plot uses `d3.axisBottom` and `d3.axisLeft` for the axes and is rendered as an SVG element.

Mmulyasuji999@gmail.com
84% match
Loading thumbnail…

Task_8_Q2

A stacked bar chart displays population totals for ten countries across six years, from 2015 to 2020, using data from a CSV file. Each bar is segmented by year, with colors from `d3.schemeCategory10` and a legend indicating the year mapping. The chart uses `d3.stack()` to compute the stacked series, `d3.scaleBand` for the categorical x-axis, and `d3.scaleLinear` for the y-axis, rendering with SVG rectangles.

DDipesh
84% match
Loading thumbnail…

Task8 Q1 2

This chart displays the 2010 population of 20 countries as a horizontal bar chart, with each bar’s length proportional to population. The SVG is rendered using React, with D3 v5’s `scaleBand` and `scaleLinear` mapping countries and population values. The code fetches CSV data via D3’s `csv` method, formats axis ticks using `d3.format`, and includes tooltips via SVG `<title>` elements. Axes are custom components drawing ticks and labels, with light green bars styled via CSS.

Ssruthimreddy6@gmail.com
84% match
Loading thumbnail…

Task8_Q1_1

A horizontal bar chart displays the population of ten countries in the year 2000, ranked by country name on the y-axis and population values on the x-axis. The chart uses D3 v5 scales, including `scaleBand` for the categorical axis and `scaleLinear` for the numeric axis, with React components rendering SVG rectangles for each bar. Tooltips show formatted population values using D3’s `format` function, while axis labels and tick marks are built with custom `AxisBottom` and `AxisLeft` components. Data is loaded from a CSV file via `csv` from D3.

Ttarunskuruvadi@gmail.com
83% match
Loading thumbnail…

Task 8-Q1A

This bar chart displays the top 10 countries by population in the year 2000, with country names on the y-axis and population values on the x-axis. The visualization uses React with D3 v5 scales and SVG rendering. Categories are sorted by population on a linear scale, with bars extending from a common left baseline. The code employs `scaleBand` for the categorical axis, `scaleLinear` for the quantitative axis, and custom React components (`AxisBottom`, `AxisLeft`, `Marks`) to render ticks and rect marks. Data originates from a CSV file, formatted with SI-prefix labels (e.g., "B" for billions).

SSushmaNamidi@my.unt.edu
83% match
Loading thumbnail…

Task_8_q1

A horizontal bar chart displays the populations of ten countries as of the year 2000. The visualization uses React with D3 v5, rendering bars as SVG rectangles via the `scaleBand` and `scaleLinear` scales, with axes rendered by custom `AxisBottom` and `AxisLeft` components. Data is loaded asynchronously from a CSV file using the `csv` function from d3. Population values are formatted in billions using `format('.2s')`. Tooltips show the formatted population on hover through a native SVG `<title>` element.

YYeshwanth963@gmail.com
83% match