Awesome Exploratory Data Analysis (EDA)
| Name | Lang | Notes |
|---|---|---|
| xda | R | |
| ExPanDR | R | https://joachim-gassen.github.io/2019/12/explore-your-data-with-expand/ |
| awesome_eda | Python | |
| naniar | R | |
| DataExplorer | R | |
| pointblank | R | "Validation of local and remote data tables" |
| visdat | R | |
| validate | R | "Professional data validation for the R environment" |
| modelsummary | R | has a datasummary function |
| dataMaind | R | can generate notebooks in R |
| vtree | R | For when you have a nested subset of varaibles |
| summarytools | R | |
| sparkedatools | R/Spark | |
| dash-pivotable | Python | Dash based web pivottable |
| elucidate | R | |
| corrmorant | R | "Flexible Correlation Matrices Based on ggplot2" |
| klib | Python | |
| sweetviz | Python | |
| dataprep.ai | Python | claims to be a new way of thinking about it |
| Visidata | CLI | |
| lux | Python | "intelligent Visual Data Discovery" |
| correlationfunnel | R | Has an interesting take on customer churn EDA using the package |
| pandas-profiling | Python | Decent basic profiling; recommended by colleague |
| inspectdf | R |
| Name | Notes |
|---|---|
| The Landscape of R Packages for Automated Exploratory Data Analysis |
- Check it out and add to the list above https://alastairrushworth.github.io/exploring_eda/EDA.html#1