Apps in the Microsoft Windows Store Visialization

100%

Apps in the Microsoft Windows Store Visialization

✓ Published0🌍 Public

Last edited Sep 17, 2020

Created on Sep 16, 2020

A scatterplot of Microsoft Windows Store apps, using circle size to indicate the count of apps per category and rating level. The visualization plots app categories along the x-axis and their ratings on the y-axis, with the color encoding category and the size encoding the aggregated count. It is built with the vega-lite-api library, using D3’s `csv` loader to fetch data from a GitHub-hosted CSV file, and the encoding leverages `vl.groupby` and `vl.count` for aggregation, with tooltips enabled through the vega-tooltip handler.

AI-generated description

A visualization constructed using the vega-lite-api.

The data shown here comes from the Dataset of the apps in the Microsoft Windows Store.

MIT Licensed

Similar vizzes

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

79% match

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

74% match

Loading thumbnail…

Untitled

This example visualizes Google Play Store app data with a bar chart that sums app reviews by category, color-coded by content rating. The visualization is built using the vega-lite-api library, which registers with vega and vega-lite, and renders as an SVG via vega-tooltip for interactivity. It loads data from a CSV URL using d3.csv, sorts the categories by review count, and displays tooltips showing aggregated review sums. The appearance is customized through a shared config object that adjusts axis ticks, label fonts, and color styling.

XXinting Yao

74% match

Loading thumbnail…

Google Play Store Apps

A bar chart shows the total number of Google Play Store app reviews per app category, with bars sorted descending by review count and colored by content rating. The visualization loads a CSV dataset via d3.csv, aggregates the Reviews field with a sum, and encodes Category on the y-axis, Reviews on the x-axis, and Content Rating as color. It uses the vega-lite-api, vega-lite, and vega libraries, with vega-tooltip for interactive hover details. The chart is rendered as an SVG, filling the browser window with custom axis styling from config.js.

CCurran Kelleher

72% match

Loading thumbnail…

Loading and Parsing CSV Data on "Dataset of the apps in the Microsoft Windows Store"

This example displays three statistics about a Microsoft Windows Store apps dataset in a large preformatted text block: the approximate file size in kilobytes, the number of rows, and the number of columns. Using D3 v5, it loads the remote CSV via `d3.csv` and reports the values computed from the parsed data, including `d3.csvFormat(data).length` to estimate the file size and the `data.columns` array to count columns. The data comes from a gist by lintonylin.

Llintonylin

72% match

Loading thumbnail…

Google Play Store Apps

A horizontal bar chart ranks Google Play Store app categories by refusal rates, using a dark-themed layout for readability. The visualization loads CSV data from a GitHub gist via `d3.csv` and encodes country names on the y-axis with refusal counts on the x-axis, sorting bars in descending order for easy comparison of top categories. Built with `vega-lite-api`, the chart renders through Vega-Lite and Vega, with tooltip support and custom axis styling from a separate config file. The visualization spans the full viewport width and uses a fixed height to display all categories.

MMaxwell Dayvson da Silva

71% match

Loading thumbnail…

Google_app_categoty

This bar chart shows the count of free and paid Google Store apps within each category, with bars grouped by app type and ordered by category. The visualization uses the Vega-Lite API via `vega-lite-api` to aggregate the CSV data from a gist, rendering bars with an opacity of 0.8. A tooltip displays the app name on hover, while the chart’s axes are styled through a custom config, removing domain lines and using light gray ticks. The chart is fitted to the window size using `autosize` and `width`/`height` properties.

Yyinhao0424

71% 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

69% match