Version two: Discipline in top 10 Countries

Version one: Medal by Discipline in top 10 Countries

A linked bar and pie chart visualizes medal counts by discipline for the top 10 Olympic countries. Hovering over a country's bar triggers an animated pie chart showing that country's medal distribution across disciplines, using `d3.pie` and `arc` with a `transition.attrTween` for animation. The bar chart uses `d3.scaleBand` and `d3.scaleLinear`, while a custom `colorLegend` function renders the categorical color scale. Data comes from Kaggle’s Olympic Games dataset, counted by individual athletes rather than events.

92% match

Ggalijawaharnath@gmail.com

Act6_Q2

This visualization displays the top 10 countries by total Olympic medal count using a horizontal stacked bar chart. Each bar represents a country’s medal distribution across gold, silver, and bronze categories. Built with D3 v7, the code uses `d3.stack`, `d3.scaleLinear`, `d3.scaleBand`, and `d3.scaleOrdinal` to structure and color the data, while `d3.axisLeft` and `d3.axisBottom` render the axes. A hover tooltip shows exact medal counts per category. The data comes from the provided `paradata.csv` file.

Version two: Top Athletes

This interactive bar chart displays the top 40 Olympic athletes and their medal counts. Each bar represents an athlete, with bar length indicating total medals earned. Hovering over a bar reveals a tooltip with the athlete’s name, country, year, event, and medal type. Built with Vega-Lite and rendered through the vega-lite-api, the visualization uses data sourced from a Kaggle Olympic Games dataset. The chart supports filtering and sorting by medal count, with color encoding distinguishing medal types.

Version one: Top 20 Athletes

This interactive bar chart displays the top 20 Olympic athletes ranked by total medal count, using data from a Kaggle dataset on Olympic Games. Each bar represents an athlete, colored by medal type, with tooltips revealing the athlete’s name, medal year, and event. The visualization is built with D3 v5 and Vega-Lite API, using `vl.markBar()` for rendering and `vega-tooltip` for interactivity. Data is filtered and aggregated client-side from a CSV source via `d3.csv`, with bars sorted descending by medal frequency.

Version three: Top Athletes

This interactive bar chart highlights the top 40 Olympic athletes by total medal count, with each bar colored by medal type (gold, silver, bronze). Hovering reveals the athlete’s name, country, year, event, and medal via a tooltip. Built with Vega-Lite API and D3 v5, it loads CSV data from a GitHub gist derived from Kaggle’s Olympic dataset, computes totals in `getData`, and renders the visualization using vega-tooltip for interactivity.

Fork of D3 Pie Chart - 11641166

This example visualizes the top 10 countries from the 2020 Summer Olympics dataset by total medals using a pie chart rendered in SVG. Each slice’s fill color and the labels are mapped from the medal totals via `d3.pie`, `d3.arc`, `d3.scaleOrdinal`, and `schemeTableau10`. A legend lists each country with a color swatch and medal count. Data is loaded asynchronously from a CSV using `d3.csv`, sorted descending, and the chart updates with mouseover logging.

JJasvitha Allamsetty

79% match

Fork of D3 Pie Chart - 11641166

This example shows the medal counts of the top 10 countries from the 2020 Summer Olympics as a pie chart, with a legend listing each country and its total medal count. The chart is rendered as an SVG using D3 v7, with the pie layout (`d3.pie`) and arc generator (`d3.arc`) creating the segments, while `d3.scaleOrdinal` with `schemeTableau10` assigns colors. Country and medal data are loaded from a CSV file, sliced to the top 10, and displayed with mouseover logging of values.

JJasvitha Allamsetty

79% match