Scatter Plot

100%

Scatter Plot - Android App User Reviews

✓ Published0🌍 Public

Last edited Sep 20, 2024

Created on Sep 16, 2024

This scatter plot visualizes the relationship between the average rating (1–5) and the percentage of problem discoveries for Android app user reviews. As expected, the plot reveals a correlation: higher percentages of problem reports correspond to lower average ratings. The visualization is rendered using D3.js, with data from the `@milepore/android-apps-user-feedback` package. It employs `scaleLinear` for both axes, custom `xAxis` and `yAxis` functions, and draws circles with fixed radius and opacity to represent individual apps.

AI-generated description

A scatter plot showing data about Anroid Application Reviews.

This pictures the relationship between the average rating (1-5) and the percentage of reviews that found a problem.

Unsurprisingly this scatter plot shows a that correlates a higher percentage of problem reports to lower ratings.

MIT Licensed

Similar vizzes

Loading thumbnail…

Stylized Scatter Plot for Google Apps

This scatter plot visualizes the relationship between app ratings and the number of reviews in the Google Play Store, with each circle representing an app and color encoding its category. It uses the vega-lite-api to define the marks and encodings, with d3.csv fetching the dataset and vega-tooltip providing interactive details. The visualization employs a logarithmic scale for review counts and a custom config to style axes and labels for improved readability.

XXinting Yao

75% match

Loading thumbnail…

Basic Scatter Plot (Axes explicitly starting from 0)

A scatter plot displays Google Play Store apps by rating on the x-axis and number of reviews on the y-axis, with each circle representing an app. The axes explicitly start at zero, revealing the full distribution of data. The visualization uses d3.csv, d3.scaleLinear, d3.axisLeft, and d3.axisBottom to render SVG circles with opacity, and includes axis labels and a title for clarity.

SSiddhi Patil

75% match

Loading thumbnail…

Android App User Review Metrics

A CSV of Android app user-review metrics is parsed and displayed as a single JSON object. The visualization shows the raw first row of the dataset, revealing fields like average rating, review counts, and problem-discovery percentages. The code loads the data with a generic CSV import and converts numeric columns using unary plus operators, then renders the object in a preformatted text block. No charting library is used; the example is a static textual preview rather than an interactive graphic.

Mmilepore@gmail.com

73% match

Loading thumbnail…

This dark-themed scatter plot shows the relationship between units sold and total sales for smartphone models, with each point colored by brand and sized by average rating. Hovering reveals a tooltip with model details. Built with D3 v7, the visualization loads CSV data, applies linear scales for axes and a color scale for brands, and uses SVG circles with mouse events for interactivity.

Llohitsai62@gmail.com

66% match

Loading thumbnail…

Scatter Plot: Amazon Books Dataset

This scatter plot shows the relationship between the total number of reviews and the average user rating for Amazon bestselling books from 2009 to 2019. Using D3 v6, the visualization loads data from a CSV file hosted on GitHub, parses the values, and maps them to x and y axes via `d3.scaleLinear`. Circles are rendered as SVG elements, with axis labels added for both the review count and user rating. The dataset originates from a Kaggle collection of Amazon top 50 bestselling books, and the chart uses a simple, uncluttered layout with semi-transparent points to reveal clustering patterns.

RRyanYun0017

65% match

Loading thumbnail…

Fork of Scatterplot of the Iphone sales

This scatterplot shows the relationship between the sale price of iPhones and their number of ratings, with each point representing a product model. The visualization uses D3.js v7 to load a CSV dataset of iPhone sales from a GitHub gist, parse the numeric fields, and render circles scaled by the sale price on the x-axis and ratings count on the y-axis. The code employs d3.scaleLinear for both axes, d3.extent for domain computation, and d3.axisBottom and d3.axisLeft for tick marks. Hovering over a dot changes its fill color to orange, while the default styling uses steelblue, as defined in the CSS.

Mmukundakrishna.r@gmail.com

65% match

Loading thumbnail…

Google Play Store Apps

This visualization plots Google Play Store apps as circles, positioning each app by its Rating (y-axis) and Reviews (x-axis) on a log scale, while coloring points by Category and showing the app name on tooltip hover. The data is loaded from a CSV via d3.csv. Built with the vega-lite-api library and rendered through Vega-Lite and Vega, the chart uses a custom configuration to style axes and labels. The view fills the browser window, with tooltips enabled through vega-tooltip.

CCurran Kelleher

64% match

Loading thumbnail…

Scatter Plot with React & D3 for Non-Synthetic Data

This scatter plot visualizes airline review ratings over time, with each circle representing an individual passenger review dated between 2015 and 2019. The x-axis displays review dates using a time scale, while the y-axis shows overall ratings from 1 to 9, with points colored red to green via `d3.scaleLinear` to indicate lower and higher scores. The visualization renders using React 19 and D3 v7, leveraging `scaleTime`, `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` for scales and axes, with a custom `parseDate` function handling various date formats including standalone years. Data comes from a CSV file of airline reviews with missing attribute values converted to zero.

Aadamsnothere@gmail.com

64% match