Art of Stat: Explore Data is an education app developed by Bernhard Klingenberg, Art of Stat.
How many times has Art of Stat: Explore Data been downloaded?
Art of Stat: Explore Data has been downloaded 2 thousand times. In the last 30 days, the app was downloaded 41 times.
What is the rating of Art of Stat: Explore Data?
Art of Stat: Explore Data is rated 4.40 out of 5 stars, based on 22 ratings.
Is Art of Stat: Explore Data free?
Art of Stat: Explore Data is free to download. The APK download size is 39.91 MB. The latest version available is 2.0.0. The last update was on January 31, 2026.
What are the requirements for Art of Stat: Explore Data?
The app has a content rating of Everyone. The app has been available on Google Play January 2022.
Description
News Feb 2026: The Explore Data app is now part of the all new Art of Stat app, which contains this and seven other modules. Please consider getting the Art of Stat app for the latest updates and features. ******************* Modern statistical calculator for teachers and students of statistics.
The Art of Stat: Explore Data app includes statistical methods for exploring categorical and quantitative data. Obtain summary statistics, contingency tables or correlation coefficients and generate bar- and pie charts, histograms, boxplots (including side-by-side boxplots), dotplots or interactive scatterplots that let you color dots by a third variable. Several example datasets are preloaded for you to explore (including instructions on the statistical analysis), but you can also enter your own data or import a CSV file from your cloud account.
The following methods are implemented:
- Analyzing One Categorical Variable
- Comparing Groups on a Categorical Variable
- Analyzing the Relationship Between Two Categorical Variables
- Analyzing One Quantitative Variable
- Comparing Groups on a Quantitative Variable
- Analyzing the Relationship Between Two Quantitative Variables (Linear Regression)
The app provides:
- Frequency tables and bar and pie charts for exploring one categorical variable.
- Contingency tables, conditional proportions and side-by-side or stacked bar charts for exploring a categorical variable across several groups or the association between two categorical variables.
- Mean, standard deviation and the 5-number summary together with histograms, boxplots and dotplots to explore a quantitative variable.
- Side-by-side boxplots, stacked histograms or density plots for comparing a quantitative variable across several groups.
- Interactive scatterplots with regression lines to analyze the relationship between two quantitative variables. Correlation statistics and linear regression parameters and predictions. Plots of raw and studentized residuals.
The app comes with several example datasets preloaded, which you can directly open in the app to explore the app's various features. You can also type in your own data or upload your own CSV file (which any spreadsheet program can create) and select variables from it. Finally the app includes a basic spreadsheet program called Data Editor to create and edit data.
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