100%

Sentiment Analysis: Thumbs Up by Review Date

✓ Published0🌍 Public

Last edited Mar 10, 2026

Created on Mar 10, 2026

This bar chart displays sentiment analysis results, showing the number of thumbs-up votes for each review date. The visualization uses React and D3 v5 to render an SVG with a band scale for the x-axis and a linear scale for the y-axis. The code loads CSV data via `d3.csv`, then creates rectangular marks using `Marks.js`, with axes built through custom `AxisBottom` and `AxisLeft` components. Each bar includes a native SVG `<title>` tooltip showing the exact thumb count.

AI-generated description

Sentiment Results Bar Chart

A D3.js visualization showing thumbs up counts by review date from sentiment analysis data.

Data

Source: sentiment_results_120_rows.csv
X-axis: review_date (4th column)
Y-axis: thumbs_up (3rd column)

MIT Licensed

Similar vizzes

Loading thumbnail…

Sentiment Analysis: Thumbs Up by Review Date

This visualization shows the distribution of genres among IMDb's Top 250 movies, with a horizontal bar chart displaying counts for each genre category. The bars are color-coded using a seaborn-inspired palette, and hovering over a bar dims the others while displaying the exact count and percentage in a tooltip. Built with React and D3 v7, the chart uses `scaleBand` for the x-axis, `scaleLinear` for the y-axis, and `axisBottom`/`axisLeft` for tick rendering. Review data from a CSV file is processed in App.js to count genre appearances before being passed to the visualization component.

Mmeangreen0067@gmail.com

83% match

Loading thumbnail…

Bars

This visualization plots the number of “thumbs up” each user review received against its row index in a dataset of Google Play reviews for the Oppenheimer mobile app. It renders the data as green circular points rather than traditional bars, using D3 scales and axes, with hover interactions that enlarge points and clicks that select and dim unselected points. The React component manages state and dimensions, while D3’s CSV loader, linear scales, and axis generators handle data parsing and chart rendering.

Mmeangreen0067@gmail.com

77% match

Loading thumbnail…

Barchart_Restaurantreview

This bar chart visualizes restaurant ratings for a subset of twelve establishments, sourced from a CSV file. The chart uses horizontal bars to compare ratings, with the length of each bar encoding the rating value. The visualization is built with React and the D3.js library, using `scaleBand` and `scaleLinear` to position bars and axes. The SVG rendering includes styled axes and a color palette, with the application's data loading handled by D3's `csv` function.

Bbhavana.bayyapu@gmail.com

73% match

Loading thumbnail…

CSCE 5320 A6.3

A bar chart and overlaid line chart visualize the top 20 Steam games by total reviews, distinguishing total, positive, and negative review counts. The chart uses D3 v5 and React to load TSV data, filter out games with zero reviews, and render an SVG with a horizontal grid, rotated axis labels, and color-coded bars and lines. The code builds the visualization with `d3.scaleBand`, `d3.scaleLinear`, `d3.axisLeft`, `d3.axisBottom`, and `d3.line`, providing an interactive look at review distribution across popular titles.

SStorm

73% match

Loading thumbnail…

Data visualization ICE-6: Rendering Marks and Channels with React & D3

This bar chart displays the top 10 most-liked companies for crypto, based on social sentiment analysis data loaded from a CSV file. The visualization uses React and D3.js v5 to render SVG marks and channels, with a band scale for the categorical y-axis and a linear scale for the quantitative x-axis. Each company is represented as a rectangular bar, with the width encoding the number of likes, and axis ticks are generated using `scaleLinear.ticks`. The chart includes a styled title and uses a custom React component with `useState` and `useEffect` to fetch and process the data.

RRohithReddy-thoughts

72% match

Loading thumbnail…

trail 2

This visualization displays the review scores of 19 video games as a horizontal bar chart. The chart uses React with hooks like useState and useEffect to load and manage data, while D3 v5 handles the scales and SVG rendering. Data is fetched as CSV from a GitHub gist, with scores parsed as numbers and filtered via slice. The x-axis uses d3.scaleLinear, the y-axis uses d3.scaleBand, and grid lines are drawn from xScale ticks.

PPrasanth

71% match

Loading thumbnail…

Fork of Data visualization ICE-6: Rendering Marks and Channels with React & D3

This example shows the top 10 most liked companies for cryptocurrency based on sentiment analysis data from a CSV file, rendered as a horizontal bar chart using React and D3. The chart uses SVG marks with `rect` elements, scaled by `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis, with axis ticks generated from D3’s scale methods. Data is loaded asynchronously via `d3.csv`, sorted to the top 10 entries, and displayed with a custom title and styling in a React component.

RRohithReddy-thoughts

71% match

Loading thumbnail…

3D Bar Chart

This 3D bar chart visualizes social sentiment data for the top 10 most-liked stocks and cryptocurrencies, comparing metrics like likes, posts, and price. It uses the d3-x3d library to render interactive 3D bars within an X3DOM scene, driven by D3 v5 for data loading and scaling. The visualization reads CSV data from a GitHub gist, parsing each asset’s name and its three numeric values. The chart’s multi-series layout displays each metric as a separate clustered bar group, with a custom-styled title and a blue background enhancing the visual presentation.

HHarishma Nallala

71% match