Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Python_3.5
gptkb:Python_2.6 |
| gptkbp:community |
open source community
|
| gptkbp:contribution |
issue tracking
bug reports feature requests documentation improvements Git Hub contributions |
| gptkbp:dependency |
gptkb:matplotlib
gptkb:scipy gptkb:seaborn gptkb:numpy pandas |
| gptkbp:developed_by |
Marcel Schmitz
|
| gptkbp:features |
descriptive statistics
interactive visualizations HTML report generation missing value analysis correlation matrix data types summary |
| gptkbp:first_released |
2018-10-01
|
| gptkbp:has_documentation |
gptkb:Read_the_Docs
|
| https://www.w3.org/2000/01/rdf-schema#label |
Pandas-Profiling
|
| gptkbp:installation |
pip install pandas-profiling
|
| gptkbp:is_similar_to |
gptkb:Auto_Viz
gptkb:D-Tale gptkb:Sweetviz gptkb:Lux Data Prep |
| gptkbp:language |
gptkb:Library
|
| gptkbp:latest_version |
3.1.0
|
| gptkbp:license |
MIT License
|
| gptkbp:provides |
data profiling reports
|
| gptkbp:release_date |
2021-05-01
|
| gptkbp:repository |
gptkb:archive
|
| gptkbp:supports |
gptkb:Jupyter_Notebooks
CSV files Excel files JSON files |
| gptkbp:target_audience |
gptkb:physicist
business analysts data analysts data scientists machine learning engineers |
| gptkbp:uses |
data analysis
data visualization Profile Report(df) generate profile report import pandas_profiling |