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This interactive dashboard visualizes crime cases against women in India using a choropleth map and two donut charts. The main map, built with D3 v7 and TopoJSON, displays state-level data for a selected year and crime type, while the two donut charts break down the total cases by year and by crime category. Animations enhance the transitions between selections. The application loads data from a CSV file hosted in a GitHub Gist, along with geographic boundary data for Indian states, and uses dropdown menus to control all three views.

AAdan Rodriguez

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This interactive visualization presents crime statistics against women across Indian states, combining a choropleth map with two donut charts. Users select a year and crime type from dropdown menus to update the map, while separate donut charts break down crime distribution by year and offense category. The visualization uses D3 v7 with `d3.geoPath` for rendering the TopoJSON map, `d3.rollups` for data aggregation, and animated transitions for donut chart updates. The dataset comes from a CSV file tracking crimes against Indian women, with color-coded thematic mapping per crime category.

Llenamax2355

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This interactive dashboard visualizes crime statistics against women in India, using a choropleth map alongside two donut charts. The map displays crime counts per state, while the donut charts break down data by crime type and year, with dropdown menus to switch between selections. Built with d3.v7, the visualization uses d3.scaleOrdinal for color encoding and d3.rollups for data aggregation. The map geometry uses topojson, and the data comes from a CSV file of Indian crime statistics. The charts incorporate simple animations when rendered.

PPedram

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This interactive visualization explores crime rates against women across Indian states. It combines a color-coded choropleth map with two animated donut charts, allowing users to filter by year and crime type through dropdown menus. The main map displays state-level data while the donuts break down the numbers by specific offenses. The visualization uses D3.js v7 to render the geographical shapes and chart animations, pulling data from a CSV file hosted on GitHub. Its distinct color scheme helps distinguish various crime categories at a glance.

NNaveenaS12

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The visualization presents the number of crime cases against women in India through a geographic choropleth map of Indian states and two animated donut charts. Users can filter the map by year and crime type via dropdown menus, while the donuts show the distribution of crime types for a selected year and crime types across all years. It is built with D3 v7, using `topojson.feature` to convert the TopoJSON map data, `d3.rollups` for aggregating the dataset, and D3’s selection and event handling for the interactive controls. The underlying data comes from a CSV file hosted on GitHub gists.

KKinjal-Goyani

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This example displays crime statistics against women in India with an interactive choropleth map and two donut charts. The map visualizes state-level case counts for a selected year and crime type via dropdown menus, while the donut charts show annual crime distribution across all types and within a single type. The visualization uses D3 v7 for data binding, scales, and SVG rendering, with topojson parsing state geometries. Animations are implemented through simple transition effects, and the dataset comes from a CSV file containing state-level crime records.

SSrividya Panchagnula

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This interactive visualization displays crime statistics against women in India across states and years. It combines an animated choropleth map of India with two interactive donut charts, allowing users to filter data by year and crime type through dropdown menus. The map shows geographic distribution, while the donut charts summarize proportions by year and crime category. Built with D3 v7, the visualization uses `d3.rollups`, `d3.scaleOrdinal`, and `topojson` for geographic processing. The code fetches data from a GitHub Gist CSV and India state boundary TopoJSON, rendering with animated transitions on user selections.

SSejeong Park

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This interactive visualization of crime data in India combines a state-level choropleth map with two donut charts. Users can filter the map and charts by year and crime type, such as rape or dowry deaths, to explore patterns across Indian states. Built with D3.js (v7), the map uses topojson for geographic features, while the donut charts are rendered using D3’s arc and pie functions. The data comes from a CSV file on crime against women in India. Simple animations update the charts upon selection changes, providing immediate visual feedback.

Jjuanmy400