Metadata-Version: 2.1
Name: StatViz
Version: 0.0.2
Author: Namitha Kolu and Ashok Kumar S
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: seaborn
Requires-Dist: openpyxl
Requires-Dist: numpy
Requires-Dist: setuptools

`StatViz` is a comprehensive Python library designed to streamline your data exploration process. It offers a suite of functions that cater to various aspects of data analysis:

* `stats_info_viz`: This powerful function acts as a one-stop shop, delivering both statistical summaries and corresponding visualizations. Gain valuable insights into your data through informative statistics alongside clear visual representations.

* `stats_info`:  If you're seeking in-depth statistical information about your data, the stats_info function is your go-to tool. It calculates and presents relevant statistical measures, aiding you in data exploration and informed decision-making.

* `stats_viz`:  Focus on creating impactful data visualizations with the stats_viz function. Generate charts and graphs that effectively reveal patterns, trends, and relationships within your data set, enhancing clarity and communication.

To install Python follow this link: [text](https://www.python.org/)

### Implementation

from StatViz.statviz import stats_info_viz, stats_info, stats_viz

### Function provides both statistical data and visualizations.
stats_info_viz(file_path="xyz.csv", file_type="csv",init_column=True/False)

or

stats_info_viz(file_path="xyz.xlsx", file_type="excel",init_column=True/False)

### Function provides both statistical information.
stats_info(file_path="xyz.csv",file_type="csv",init_column=True/False)

or

stats_info(file_path="xyz.xlsx",file_type="excel",init_column=True/False)

### Function provides both statistical visualizations.
stats_viz(file_path="xyz.csv", file_type="csv")

or

stats_viz(file_path="xyz.xlsx", file_type="excel")

### Contributers
* Namitha Kolur
* Ashok Kumar S
