Metadata-Version: 2.4
Name: audity
Version: 0.13.1
Summary: Audit, inspect, and survey data from the terminal.
Author-email: espehon <espehon@gmail.com>
Project-URL: Homepage, https://github.com/espehon/audity
Project-URL: Bug Tracker, https://github.com/espehon/audity/issues
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Utilities
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: colorama>=0.4.6
Requires-Dist: pandas>=2.3.0
Requires-Dist: numpy>=2.0.0
Requires-Dist: seaborn>=0.12.2
Requires-Dist: matplotlib>=3.7.1
Requires-Dist: halo>=0.0.31
Requires-Dist: questionary>=2.1.0
Requires-Dist: openpyxl>=3.1.5
Dynamic: license-file

# Audity
Audit, inspect, and survey data by generating visuals with matplotlib on the fly. Audity is a CLI tool that loads a data file (csv/xlsx) a offers charting options allowing you to chose x and y axis. Visuals are rendered in a new window and all data manipulation is in memory. 

# Usage
Just run `audity` in the directory of your data file(s). File selection is handled within audity. Simply use the arrow keys and enter on your desired file. Audity will then load the file as a Pandas Dataframe and then the fun begins.

# Features
- Directory navigation for file selection
- Preview or describe Dataframes
- Edit column names
- Edit column data types
- Remove columns
- Remove outliers (IQR)
- Render charts (see [Supported Visuals](#Supported-Visuals) below)

# Supported Visuals
- Box Plot
- Violin Plot
- Line Plot
- Bar Plot
- Scatter Plot
- Joint Grid Plot
- Relation Plot
- Pair Plot

