A simple visualization library for univariate and bivariate analysis
Project description
This is a simple package to help you do univariate and bivariate analysis on numerc and categorical features. The visuals are generated using matplotlib and seaborn. The package is still in development and more features will be added soon. The usp is that in a single figure with subplots all the visuals are presented in a compact manner with a simple function call and passing the dataframe and a list of numeric or categorical features.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file vizad-0.0.2.tar.gz.
File metadata
- Download URL: vizad-0.0.2.tar.gz
- Upload date:
- Size: 6.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
14327050105b6f31a185ba6f1f81a59ff692267e952b8adb67356c4655599bef
|
|
| MD5 |
d48279216c6830b09efac3d7f63037ca
|
|
| BLAKE2b-256 |
8efcbb5690211c075e34afb6d025ed64010c749d48f2338fe0c81682d39acae3
|
File details
Details for the file vizad-0.0.2-py3-none-any.whl.
File metadata
- Download URL: vizad-0.0.2-py3-none-any.whl
- Upload date:
- Size: 5.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
858d169140446a46db25a1da47cfd54f8d88982891b010a65bb122ba257a39f2
|
|
| MD5 |
7ad30f1e27dd7452180d2d349c673c3e
|
|
| BLAKE2b-256 |
3ce847d0ca580df810a3ced78b9ef8c6feb97366478eed8cfa75af8db57c1034
|
