This app includes statistical methods for:
- 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)
You can type in your own data, upload your own CSV file (which any spreadsheet program can create) and select variables from it, or create and edit data in the Data Editor.
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.
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.
- 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)
You can type in your own data, upload your own CSV file (which any spreadsheet program can create) and select variables from it, or create and edit data in the Data Editor.
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.
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.
Show More