Skip to main content
SimilarExport ZIP
100%

Fork of Task8-Q1.2

✓ Published0🌍 Public
Sshraehithareddy@gmail.com
Last edited Apr 15, 2024
Created on Apr 15, 2024
Forked from Task8

This example visualizes a bar chart of population data for the top 20 countries, using data from a GitHub-hosted CSV. The bars are rendered as SVG rectangles, with green fills and blue tick lines on the axes. It is built with React and D3 v5, using the `d3.csv` parser for data loading and custom components (`AxisBottom`, `AxisLeft`, `Marks`) for rendering. The chart includes a tooltip on each bar that shows the population value in thousands.

AI-generated description

A blank slate starting point showing the "Hello World" for the VizHub V3 Runtime Environment, which supports continuous hot reloading with interactive widgets.

https://vizhub.com/drbagwell/cfc6aaba08b54a598475e867bcc8fa21

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Task8-task1

This bar chart displays the population of countries in 2020, ranked by country name. The visualization renders horizontal bars using React and SVG, with D3 v5's `scaleBand` and `scaleLinear` mapping country names and population values to screen coordinates. The chart includes custom axis components (`AxisBottom`, `AxisLeft`) and bars (`Marks`) that display tooltips on hover. Data is loaded from a CSV via D3's `csv` function, and the population values are multiplied by 1000 for display. The chart is styled with Poppins typography and uses a green color for the bars.

Sshraehithareddy@gmail.com
93% match
Loading thumbnail…

Fork of Task8_Q1.1

This horizontal 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. Built with React and D3 v5, it uses `scaleBand` and `scaleLinear` to map data from a CSV file loaded via `d3.csv`. The SVG renders axes through custom `AxisBottom` and `AxisLeft` components, while `Marks` draws green rectangles with tooltips formatted using `d3.format`. Data comes from a GitHub-hosted CSV, with axis labels styled via CSS classes.

Sshraehithareddy@gmail.com
93% match
Loading thumbnail…

Fork of Task 8 Q1-2

This example displays a horizontal bar chart of 2010 population data for 20 countries, sourced from a GitHub CSV file. The chart encodes population values on a linear x-axis scale and country names on a categorical y-axis. Built with React and D3 v5, it uses `scaleBand` and `scaleLinear` for scales, and renders SVG `rect` elements for bars. The code demonstrates loading D3 via UNPKG and importing from local ES6 modules, with tooltips formatted using `d3.format`.

Vvchittimadha@gmail.com
92% match
Loading thumbnail…

Fork of Task_8_Q1_2

This example presents a horizontal bar chart comparing the 2010 populations of 20 countries. The bars are rendered as green SVG rectangles. The chart is built using React, with D3.js v5 providing the `scaleBand` and `scaleLinear` functions for axis scaling, and the `csv` function to load data from a GitHub-hosted CSV file. Custom ES6 module components handle the axes and marks, with the x-axis formatting using D3's `format` API to abbreviate large numbers to billions. Population values are preprocessed by multiplying the raw data by 1000.

YYeshwanth963@gmail.com
92% match
Loading thumbnail…

Fork of Task8_Q1.2

This horizontal bar chart displays the populations of 20 countries in 2010, sorted by name along the y-axis with population magnitudes extending along the x-axis. Built with React and D3 v5, it uses `scaleBand` for the categorical axis and `scaleLinear` for the numeric domain, rendering SVG rectangles via the `Marks` component. The data loads from an external CSV using D3’s `csv` method, and axis ticks are formatted with `format('.2s')` to abbreviate large numbers, with tooltips showing exact values.

Sshraehithareddy@gmail.com
92% match
Loading thumbnail…

Fork of Fork of Task 8 Q1-2

This bar chart displays the population of 20 countries in 2010, rendered as an SVG using React and D3 v5. The data is loaded from a remote CSV file and visualized with horizontal bars, where country names appear on the y-axis and population values on the x-axis. The chart uses D3's `scaleBand` and `scaleLinear` for axis scaling, and `format` to abbreviate large numbers. Interactive tooltips show the exact population value on hover, while the axis ticks and labels are styled with custom CSS.

Vvchittimadha@gmail.com
91% match
Loading thumbnail…

Fork of Task 8_Task 1

This example displays a horizontal bar chart comparing the population figures from the year 2000 for the top ten countries. It uses a tabular dataset loaded from a GitHub-hosted CSV file. The visualization renders bars as SVG rectangles within a React framework, with the chart axes and tick marks generated through custom D3 components. The x-axis applies a linear scale with a custom formatter that converts very large numbers into a readable "B" (billion) suffix. The y-axis uses a band scale to position categorical country labels. Hovering over a bar triggers a native tooltip, showing the specific population value.

Jjaswanthichowdarykalapala@my.unt.edu
91% match
Loading thumbnail…

Task8_Q1

This example shows a bar chart of 2020 population estimates for 30 countries, using horizontal bars sorted by country name on the y-axis and population magnitude on the x-axis. The visualization is built in React with D3 v5’s `scaleBand` and `scaleLinear` for positioning, while SVG `<rect>` elements render the bars. Data loads from a remote CSV via `d3.csv`, with population values converted from thousands. Axis components generate tick marks and labels, and tooltips appear on hover via SVG `<title>` elements.

Sshraehithareddy@gmail.com
90% match