Dataset: IMDB Top 250 Movies Dataset

Week 6: IMDB Top 250 Movies Bar Chart: Genre VS Count

A bar chart visualizes the distribution of genres among the IMDb Top 250 movies, with each bar's height representing the count of movies in that genre and a tooltip showing the exact count and percentage. The visualization uses the D3.js library, including `scaleBand` and `scaleLinear` for axes and `axisBottom` and `axisLeft` for tick marks. Data is loaded from a CSV file, and genres are split and counted from a comma-separated field. The chart uses a Seaborn-derived color palette with interactive hover effects that highlight the selected bar and dim others.

96% match

Week 12: IMDB Top 250 Movies Bar Chart: Genre VS Count

This bar chart visualizes the distribution of genres among IMDb’s Top 250 movies, showing that a single film can be counted under multiple genres. The visualization counts genres from the loaded CSV data and sorts them in descending order. It uses D3.js v7 scales, axes, and SVG elements to render the chart, with a Seaborn-derived color palette and hover interactions that dim non-target bars and display a tooltip with the count and percentage for each genre.

96% match

Fork of Week 5: IMDB Top 250 Movies Bar Chart: Genre VS Count

This bar chart displays the distribution of genres among the IMDb Top 250 movies, counting each genre assigned to a film (including multi-genre entries) and sorting the results descending by frequency. The visualization uses D3 v7 scales (`scaleBand`, `scaleLinear`) and axes (`axisBottom`, `axisLeft`) within a React component, with data loaded from a local `data.csv` file. Bars are colored with a gradient from a Seaborn-inspired palette, and the chart includes rotated x-axis labels and a bold title.

Fork of Week 5: IMDB Top 250 Movies Bar Chart: Genre VS Count

This bar chart shows the distribution of genres among IMDb’s Top 250 movies, tallying how many films fall into each genre category. The visualization uses a React frontend with D3 v7’s `scaleBand`, `scaleLinear`, `axisBottom`, and `axisLeft` to render the bars and axes, applying a Seaborn-inspired color palette to distinguish genres. Data is loaded from a CSV file and processed with a custom `countGenres` utility, with bars sorted by count in descending order.

Fork of Week 5: IMDB Top 250 Movies Bar Chart: Genre VS Count

This bar chart shows the distribution of genres across IMDb’s Top 250 movies, counting each genre listed for a film and sorting the results by frequency. The visualization uses React and D3 v7’s `scaleBand`, `scaleLinear`, `axisBottom`, and `axisLeft` APIs to render the bars and axes. Titles and labels are added via D3 selections, while bars use a gradient fill defined in an SVG `linearGradient`. The data comes from a local CSV file loaded with `d3.csv`.

Fork of Week 5: IMDB Top 250 Movies Bar Chart: Genre VS Count

This interactive bar chart visualizes the distribution of genres among the IMDb Top 250 movies, showing the count of movies for each genre. The data is loaded from a CSV file and processed to count genres, with results sorted in descending order. The visualization uses D3.js version 7 to render the chart, employing `scaleBand` and `scaleLinear` for axes, and `axisBottom` and `axisLeft` for ticks. It is built with React, using a Seaborn-inspired color palette for the bars.

BBismark Kofi Owusu Sarfo

My view on IMDB Top 250 Movies Bar Chart: Genre VS Count

This interactive bar chart visualizes the distribution of genres within IMDb’s Top 250 movies, allowing users to filter the displayed categories via a text input. Built with React and D3.js, the visualization uses `scaleBand` and `scaleLinear` to map genres and counts, while `transition` calls animate bar height changes. Hovering over a bar reveals a tooltip with the genre’s count and percentage. The chart reads from a local CSV file and updates responsively, with axes rendered via `axisBottom` and `axisLeft`.

93% match

Week 5: IMDB Top 250 Movies Bar Chart

This bar chart shows the distribution of the top 250 IMDB movies across genres, with the x-axis displaying genres and the y-axis displaying the number of movies. Using the `d3-rosetta` library's unidirectional data flow and utilities like `one` and `createStateField`, the visualization processes `data.csv` by splitting each movie's genre field and counting occurrences. The chart leverages D3's `scaleBand`, `scaleLinear`, `axisBottom`, and `axisLeft` APIs via the `barChart` function, with axis labels and bars rendered through the `renderAxes`, `renderAxisLabels`, and `renderBars` modules.