Skip to main content
SimilarExport ZIP
100%

Television Show Ratings - Rating by Season

✓ Published0🌍 Public
Vvwm
Last edited Sep 25, 2019
Created on Sep 11, 2019

This scatterplot visualizes television show ratings across seasons, encoding average rating on the y-axis, season number on the x-axis, and audience share as point size. The chart filters out average ratings below 6 and seasons beyond 20, revealing how share declines steadily with more seasons while rating trends remain inconclusive. Built with the Vega-Lite API alongside d3 for CSV data loading, the visualization uses a custom dark theme and a tooltip to display show titles for each point.

AI-generated description

This visualization was constructed using the vega-lite-api. It was originally forked from one of Curran Kelleher's Vega-Lite API templates and modified to include Television Show Rating data which originates from R for Data Science's Tidy Tuesday weekly event for January 8, 2019.

This chart shows Average Rating by Season Number (for television shows). It also represents the rating share with point size. For readability, the chart does not show average ratings below 6 or seasons beyond 20, though I would want to change how that is handled in future, more polished visualizations.

It doesn't seem like a firm conclusion can be made as to how rating changes by season; however, the chart does show how share steadily decreases as a show produces more seasons, and it also gives an idea of the commonality of reaching season count milestones.

MIT Licensed

Similar vizzes

Loading thumbnail…

Television Show Ratings - Rating by Show

This visualization displays average television show ratings, filtered to exclude values below 9.1 and sorted by rating, with point size encoding rating share. Data comes from a CSV file, processed via `d3.csv`, and the chart is built using the Vega-Lite API with `vl.markPoint`, encoding fields for title, rating, and share. The visualization is rendered as a static SVG using the Vega rendering engine, with custom styling applied through a config object.

Vvwm
84% match
Loading thumbnail…

Fork of Fork of Scatter Plots of TV_SHOWS_REVISE

This visualization presents TV show ratings from a Rotten Tomatoes dataset, plotting release year on the x-axis and Rotten Tomatoes scores on the y-axis. Circle radius encodes half the IMDb score, with all points colored salmon. The main scatter plot uses d3.scaleLinear axes, while a second chart below shows a bar histogram of show counts per year, also using d3.rollups for aggregation. A d3.brushX selection is built into the scatter plot to filter data interactively, with the SVG rendered using D3 v6.

LlzlazmSylas
72% match
Loading thumbnail…

test sort animation

This dot plot visualization compares TV episodes within a selected season by their average ratings, highlighting episodes that meet or exceed the series average with highlighted dots. Users can switch between seasons and toggle between chronological or rating-based sorting, with Svelte's flip animation smoothly transitioning dots and labels to their new positions. The chart uses a linear rating scale (0–10 stars) with duplicated axes on top and bottom, a highlighted reference line at the series average, and interactive hover tooltips for detailed episode information.

JJoey Cherdarchuk
70% match
Loading thumbnail…

Scatter Plots of TV_SHOWS_REVISE

This scatter plot visualizes TV shows, mapping release year on the x-axis and Rotten Tomatoes scores on the y-axis, with circle radius encoding half of the IMDb score. All circles are colored salmon, reflecting the drama/show genre designation. The visualization uses d3.csv to load data from a GitHub Gist, d3.scaleLinear for all positional and radius scales, and d3.axisLeft and d3.axisBottom to render axes in SVG. A second, smaller context area is set up using d3.scaleLinear, though the brushing interaction remains commented out in the code.

LlzlazmSylas
69% match
Loading thumbnail…

Television Show Ratings

This example displays basic metadata about a television show ratings dataset, showing the file size, row count, and column count in a large text format. The page loads CSV data from a Tidy Tuesday repository using `d3.csv` and reports the results. The visualization is intentionally minimal, using a `<pre>` element to render the computed statistics rather than drawing charts or graphs. The code also includes commented-out alternatives using `fetch` with `async`/`await` and `d3.csvParse`, demonstrating different approaches to loading and parsing the same data source.

Vvwm
68% match
Loading thumbnail…

Bar Graph

This bar graph displays TV show ratings from a CSV file, sorting each show’s average rating as a horizontal bar. Built with D3 v6, it uses `scaleLinear` and `scaleBand` to map rating values and show names, with axes rendered via `axisLeft` and `axisBottom`. The SVG rendering loads data asynchronously with `csv()`, parses numeric values, and draws steelblue rectangles sized by each rating.

NNoobSaiyan
68% match
Loading thumbnail…

Data Visualization Short Presentation Task5

This stacked bar chart displays the distribution of Netflix show ratings across six genres, with each bar segment representing the percentage of audience ratings falling into categories from "below 5.0" to "above 8.5". The visualization uses d3.csv to load the data, d3.stack() to compute the stacked segments, and d3.scaleOrdinal with a custom color array for encoding rating categories. Interactive tooltips, styled with hover effects that change rectangle opacity, display exact percentages on mouseover, while axes, labels, and a legend help contextualize the data.

Aanith462@gmail.com
65% match
Loading thumbnail…

Movie Streaming (Rating v/s Year released)

A scatterplot displays the release year of movies on streaming platforms against their IMDb ratings, with the opacity revealing density. Most points cluster after 2000, showing increasing movie releases over time. The visualization uses Vega-Lite API with d3.csv to load the Movie.csv dataset, encoding year on the x-axis and IMDb score on the y-axis, with tooltips revealing movie titles.

VVamsi Bhargav Sukamanchi
64% match