ICE-6 Assignment

ICE-6: Population 2021(Bar Chart)

This example renders a bar chart of country populations in 2021 using React and D3 v5. The visualization displays the top nine countries by population as horizontal bars, with country names on the y-axis and population counts on the x-axis. The code uses `d3.csv` to load data from a GitHub gist, `scaleBand` for the categorical y-axis, and `scaleLinear` for the numeric x-axis. Axes are drawn manually with SVG elements, and bars are rendered as `rect` shapes based on the scaled population values.

Mmanishcheruku

ICE 6

This example displays a horizontal bar chart of the top 10 most populous countries for 2019, ranked by population count. The visualization uses React with hooks to load CSV data and D3 v5 for scales and rendering, including `scaleBand` and `scaleLinear` for axes, alongside custom SVG elements for bars and gridlines. The dataset is fetched from a GitHub gist and sliced to the first ten entries, with the chart appearing within a React-managed SVG container.

Ssaidhiraj16

ICE6

A horizontal bar chart displays the top ten countries in the 2019 World Population dataset, with each bar's length proportional to population and country labels on the y-axis. The visualization is built with React, using D3's `scaleBand` and `scaleLinear` to map data to SVG rectangles within a responsive `<svg>` container. Axes and tick marks are generated via D3's `axisLeft` and `axisBottom` functions, styled with CSS. The chart updates asynchronously after fetching and parsing the CSV via `d3.csv`.

Hharika-1929

ICE-6 Dv

This visualization shows the top 10 most populous countries in 2019 as a horizontal bar chart, with the population of each country represented by the length of its colored bar. The chart is built using React, which manages the component state, and D3 v5 for data loading and scales. The code uses `d3.csv` to fetch population data from a GitHub gist, `d3.scaleBand` for the categorical y-axis, and `d3.scaleLinear` for the continuous x-axis, while axes tick lines and labels are drawn manually.

Ssowmyanagula@my.unt.edu

ICE_6

This bar chart displays the top 10 most populous countries in 2019, using a horizontal bar layout with country names on the y-axis and population values on the x-axis. It is built with React and D3 v5, using `d3.csv` to load data from a remote CSV file, `d3.scaleBand` and `d3.scaleLinear` for axes, and SVG rectangles for bars. Gridlines and tick labels are generated with `d3.ticks()`, while the chart is rendered entirely as SVG within a React component.

AAkrutiKhurana2103

ICE-6

This horizontal bar chart visualizes the top 20 countries by population, with red bars extending from a shared baseline. The visualization uses React to manage state and D3 v5’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded asynchronously via `d3.csv` from a GitHub gist. Gridlines and tick labels are manually rendered as SVG elements using D3’s `ticks()` method, with the chart displayed within an SVG container on an HTML page.

Ssri7harsha

ICE 6 Bar charts

This example displays the top 10 countries by population using a horizontal bar chart, with the x-axis formatted in billions. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering marks as SVG rectangles. Data is loaded asynchronously via `csv` from a UN population dataset, and tooltips show exact values on hover.

Rrakeshkommineni

ICE-6

This visualization displays the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. The chart loads data from a CSV file and renders as an SVG using React and D3 v5. The code employs `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and includes grid lines with tick labels generated via the scales. Data is processed by converting the ’2019’ column to numeric values and slicing the top 10 entries.

SSushmareddy-gudipally