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kalyanreddy997

@kalyanreddy997·5 public vizzes

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Infection Type Chart

A stacked bar chart displays infection case counts across Chinese provinces, segmented by transmission type: Travel, Relative, Social, and Unknown. Users toggle between absolute counts and percentage-normalized views via radio buttons, triggering animated transitions. The visualization uses d3.layout.stack for stacking, d3.scale.ordinal for the x-axis, and SVG rectangles with smooth transitions. Data comes from data3.csv, sorted alphabetically by province, with a color-coded legend and hover tooltips for additional detail.

Apr 7, 2020
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Infection Type Chart

A stacked bar chart displays infection case counts across Chinese provinces, segmented by transmission type: Travel, Relative, Social, and Unknown. Users toggle between absolute counts and percentage-normalized views via radio buttons, triggering animated transitions. The visualization uses d3.layout.stack for stacking, d3.scale.ordinal for the x-axis, and SVG rectangles with smooth transitions. Data comes from data3.csv, sorted alphabetically by province, with a color-coded legend and hover tooltips for additional detail.

Apr 7, 2020
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Gender Distribution Chart

A stacked bar chart displays gender distribution across Chinese provinces, with male and female counts stacked per province. Users toggle between raw counts and percentages of total illness via radio buttons, triggering animated transitions that rescale the y-axis and re-stack the bars. The visualization uses D3.js version 3.5.6 with the `d3.layout.stack` API, ordinal and linear scales, SVG axes, and transition methods. Data comes from two CSV files, though only `data3.csv` containing provincial gender counts drives this chart. Hovering highlights bars through CSS opacity changes.

Apr 1, 2020
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Age Distribution Chart

This stacked bar chart visualizes the age distribution of illness cases across Chinese provinces, with each bar segmented into ten-year age brackets from 0-10 to 90-100 years. Users can toggle between raw case counts and percentage-of-illness views via radio buttons. Built with D3.js version 3.5, the visualization uses `d3.layout.stack` for stacking, `d3.scale.ordinal` and `d3.scale.linear` for axes, and includes smooth transitions when switching between count and percent modes. The data comes from a CSV file, with SVG rendering and interactive hover effects.

Apr 1, 2020
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Bar chart

This visualization uses D3.js to render a vertical bar chart of student grades, with each bar representing a module code from the provided CSV data. The chart uses a linear color scale to map grade values from steelblue to grey, while the x-axis displays the numeric grade and the y-axis lists module codes. SVG rendering with animated transitions brings the bars in over one second using D3’s `transition` and `easeLinear`. The axes are formatted using `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`.

Mar 31, 2020