Fork of Fork of Bar graph-task1

Fork of Bar graph-task1

This example visualizes global COVID-19 testing data by continent, displaying new test counts as horizontal bars. The visualization uses D3 v5 and React to render an SVG bar chart, with D3's `scaleBand` and `scaleLinear` mapping continent names and test values to screen coordinates. Axes are drawn manually using D3's `axisBottom` and `axisLeft` components. The bar chart loads data from a CSV file using D3's `csv` function, filtering to show the first twelve records. A second, unused 3D scatter plot with Plotly is also present in the code, though it is not rendered in the final output.

Ppemmasaniprudhvinadh

82% match

Fork of Untitled

This bar chart displays the relationship between BMI and age group from a heart disease dataset. Each bar represents the BMI value for a specific age category, plotted along the x-axis. The chart uses D3.js v4 with SVG rendering, specifically leveraging `d3.scaleBand` for the categorical x-axis and `d3.scaleLinear` for the continuous y-axis. The data is loaded from a CSV file using `d3.csv`, and bars are drawn as SVG rectangles with the class "bar". Axes are added using `d3.axisBottom` and `d3.axisLeft`.

81% match

Fork of Fork of Fork of Rendering Data with React & D3

This visualization displays a horizontal bar chart comparing student marks, using a dataset loaded from a CSV file and limited to the first 10 students. The chart renders as an SVG, with blue bars representing each student’s score on a linear scale, while a band scale positions the student names on the y-axis. The code combines React hooks for state management and data loading with D3 utilities such as `csv`, `scaleBand`, `scaleLinear`, and `max` to compute scales and render tick marks and rectangles.

Kkirangithub23

80% match

Fork of Bar graph-task1

This bar chart displays North American sales for the top twelve video games, with each game's name on the vertical axis and its sales figures on the horizontal axis. The visualization is built using React and D3 v5, employing `d3.csv` to load the dataset and `d3.scaleBand` and `d3.scaleLinear` to map the data to SVG rectangles. The chart is rendered with red gridlines and labeled axes. While the primary view is a horizontal bar graph, the code also contains a separate Plotly-based 3D scatter plot that compares North American and Japanese sales over time, indicating the source data includes multiple regional sales metrics.

80% match

Fork of Fork of HTML Starter

This example presents a health data visualization comprising three charts: a bar chart of Var1, a line chart showing Var2 over time, and a pie chart of Var3. It loads CSV data from a GitHub gist and uses D3.js v7 to render SVG elements. The bar chart maps data points to horizontal bars, the line chart uses scales and a line generator to plot the time series, and the pie chart uses `d3.rollups` to aggregate categories. The code includes axes and margin conventions for the line chart.

Aakhilakura@my.unt.edu

Fork of Pie Chart

This visualization compares BMI values against general health categories using a pie chart, with the top ten highest BMI records from a heart disease dataset. The chart renders as an SVG using D3's `pie` and `arc` generators, with each slice colored via `scaleOrdinal` and `schemeCategory10`. A legend lists health categories with corresponding values, and hovering over a slice logs its BMI to the console. Data is loaded as CSV via `d3.csv`, while the React-free interface relies on plain D3 selections and the `bundle.js` build.

Fork of Bar graph-task1

This example shows a horizontal bar chart of North American video game sales for the top twelve titles, ranked by their NA_Sales values from a CSV dataset. The chart uses D3 scales (scaleBand for categories and scaleLinear for values) to position bars and axis ticks, while React manages the component state and data loading. The visualization renders as an SVG with red gridlines and labeled axes, using d3.csv to fetch and parse the data, and d3.max to determine the x-axis domain.

Aajaysonu

Fork of Stylized Line Chart

This visualization displays heart disease data across age categories as a smooth, stylized line chart. The curve is drawn using d3.line with curveNatural, connecting data points from the Data Canvas Sense Your City dataset. The React-based implementation uses d3.scaleTime and d3.scaleLinear for axes, with a Poppins font and blue stroke styling. Tooltip circles are commented out, leaving only the line visible in the SVG rendering.