Mahendra Gullinkala IC-6

Mahendra Gullinkala IC-6

Mmaheganesh

100% match

Movies Scatter Plot

A scatter plot displays movie ratings against release dates from 1958 to 2019, with each red semi-transparent circle representing a single film’s score. The visualization uses D3 v5’s `scaleLinear`, `axisBottom`, and `axisLeft` to map the data, while `csv()` loads the dataset and SVG renders the circles. Grid lines extend from both axes, and custom axis labels and a title annotate the chart.

DD0no

Movie Stats Scatter Plot

This interactive scatter plot maps movie runtime against rating, with each point representing a film. Genre filter checkboxes let users toggle visibility of specific categories, dynamically updating the visualization. Built with React and D3 v7, the visualization uses D3 scales and axes to position points, while a bitstring tracks the active genre filters. The plot renders from an embedded CSV dataset containing movie metadata such as year, revenue, and metascore, with the React component orchestrating state changes as users interact with the checkboxes.

cars scatter plot

This scatter plot visualizes the relationship between movie ratings and ranks across a dataset of films, with each circle representing a movie. The visualization uses D3 v5 within a React framework, leveraging `d3.csv` for data loading, `d3.scaleLinear` for axis scaling, and `d3.axisBottom` and `d3.axisLeft` for tick marks and gridlines. Rendered as an SVG, the plot includes axis labels, a title, and red semi-transparent circles. The data comes from an external `movies.csv` file, and the code parses numeric fields before plotting.

AAkhilesh7866

cars scatter plot

AAkhilesh7866

Movie Stats Scatter Plot Final Iteration

This interactive visualization lets users explore IMDB movie data through a customizable scatter plot. Users select which genres or actors to display and independently choose the X and Y axes from yearly release, runtime, rating, votes, and revenue. The plot encodes genre with color and includes hover effects that reveal movie titles. Built with D3 v7, the visualization uses the `scaleLinear` and `extent` functions for scales, `axisLeft` and `axisBottom` for labeled axes, and SVG circles for data points. The project also features a separate actor network graph, though it remains incomplete. Movie data is loaded from a local CSV file.

Movie Stats Scatter Plot Iteration 4

This interactive scatter plot displays movie statistics from the data.csv file, allowing users to toggle genre filters via checkboxes and select which attributes (e.g., IMDB rating, Revenue, Runtime) map to the x- and y-axes through radio buttons. D3 v7 powers the scales, axes, and circle rendering, with genres color-coded and hover events showing the movie title. The implementation uses d3.scaleLinear, d3.axisBottom/axisLeft, and d3.csvParse to load data and update the visualization through a state-driven design.

73% match

Movie Stats Scatter Plot Iteration 5

This interactive scatter plot visualizes movie statistics from a CSV dataset, allowing users to compare variables such as IMDB rating, revenue, runtime, and year. Users can filter points by genre through colored checkboxes, search for specific actors, and switch the x- and y-axis among six quantitative fields. Clicking a circle displays the movie’s title. The visualization uses D3 v7 APIs like `scaleLinear`, `axisLeft`, and `axisBottom` to render axes and circles, with SVG elements updated dynamically via `selectAll` and `join`.