All the essentials in one of many apps.
I wish I used this app more. I love art of stat!
Description
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 easily 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.
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.
You can also copy & paste data from a spreadsheet app such as Google Sheets, Excel or Apple’s Numbers app. Several sample datasets are provided.
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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.
You can also copy & paste data from a spreadsheet app such as Google Sheets, Excel or Apple’s Numbers app. Several sample datasets are provided.
In-Apps
- Unlock All Apps
- $2.99
- Two Categorical Variables
- $0.99
- Two Quantitative Variables
- $0.99
- Compare Groups (Quantitative)
- $0.99
- Explore Quantitative Variable
- $0.99
- Compare Groups Categorical Var
- $0.99
Screenshots
Art of Stat FAQ
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Is Art of Stat free?
Yes, Art of Stat is free to download, however it contains in-app purchases or subscription offerings.
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Is Art of Stat legit?
Not enough reviews to make a reliable assessment. The app needs more user feedback.
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How much does Art of Stat cost?
Art of Stat has several in-app purchases/subscriptions, the average in-app price is $1.32.
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What is Art of Stat revenue?
To get estimated revenue of Art of Stat app and other AppStore insights you can sign up to AppTail Mobile Analytics Platform.
User Rating
4.91 out of 5
23 ratings in United States
5 star
22
4 star
0
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1
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Ratings History
Art of Stat Reviews
Best stats app
All the graphs I need for my Intro Stats class. Better than any stats software.
Powerful but very annoying
This app has a lot of power and is great for visualization. However, it is very irritating or simply impossible for me to use because it only works in portrait mode. I have a hard time typing a bunch of numbers on a little keyboard in that mode, and my iPad case does not have ability to stand in a portrait mode. It has never been an issue because all other apps I ever used switch between portrait and landscape mode without any issue. This one does not! At all! Changing the orientation is a basic feature any app should have.
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App Info
- Category
- Education
- Publisher
- Bernhard Klingenberg
- Languages
- English
- Recent release
- 1.9.0 (3 months ago )
- Released on
- Jan 7, 2022 (3 years ago )
- Also available in
- United States , Australia , Mexico , Austria , Canada , Argentina , Denmark , Germany , Brazil , United Kingdom , Uzbekistan , Bulgaria , Romania , New Zealand , Saudi Arabia , Sweden , South Africa , Kuwait , Norway , Italy , Ukraine , Russia , Singapore , Ireland , Hong Kong SAR China , Israel , South Korea , Colombia , France , Philippines , India , Peru , Ecuador , Dominican Republic , Switzerland , Spain , Thailand , China , Finland , Vietnam , Malaysia , Egypt , Greece , Lithuania , Türkiye , Nigeria , Belgium , Lebanon , Belarus , United Arab Emirates , Hungary , Kazakhstan , Japan , Portugal , Netherlands , Czechia , Poland , Taiwan , Indonesia , Azerbaijan , Chile , Algeria , Pakistan
- Last Updated
- 2 weeks ago
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