Repositório para geração de relatórios exploratórios a partir de arquivos CSV utilizando a biblioteca ydata-profiling.

This repository contains the code snippets, short and long scripts for EDA, and some useful libraries to save time.

A python project using Streamlit, Pycaret and Pandas to demo an automated data modelling🤖 workflow.

The Exploratory Data Analysis (EDA) App is a Streamlit-based web application that allows users to perform comprehensive exploratory data analysis on their datasets. This app provides an intuitive and user-friendly interface for uploading CSV files, visualizing the input data, and generating an interactive profiling report.

Data Sweeper Pro+ is an advanced data cleaning and transformation platform built with Streamlit. It allows users to upload datasets, clean them, analyze them with interactive profiling reports, and export the cleaned data in multiple formats. The app is designed for both technical and non-technical users.

Data Profiler is a Streamlit app designed to provide insightful data analysis and visualization. Users can upload their datasets in '.csv' or '.xlsx' format, and the app generates a comprehensive profiling report using the YData Profiling library.