the main objective of this app is to create a tool that helps to perform a basic exploratory analysis of a dataset in a fast and automatic way.
- scikit-learn==1.2.1
- numpy==1.24.2
- matplotlib==3.7.0
- pandas==1.5.3
- seaborn==0.12.2
- PyQt5==5.15.4
•Displays a general overview of the data.
•Allows to visualize the distribution of each feature of the dataset using bar charts.
•Compares the target with the other variables to better understand the relationship between them.
•Correlation matrix of all features.
•Allows you to clean the dataset from invalid values and save it in a new .csv file.
You can clone this repository or download the portable version from drive:
https://drive.google.com/file/d/1HCDbk5MHW9gW9caXoG_eNYjTt5uR2BxD/view?usp=share_link
Usage: execute the main file .py or simply double-click on the .exe if you are using the portable version.
- At the moment it is not fully compatible with time series based Datasets.
- The file weight is 230mb due to the compression of the required data science libraries.
-Implement multiple types of charts for each method -Add a times series forecasting section
If you have any questions or problems with the app, please contact the author at libreros00@gmail.com