A snappy Flask dashboard to predict customer churn, save revenue, and sass you with an AI chatbot. Keep customers from ghosting! 📊🤖
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Updated
Nov 14, 2025 - Python
A snappy Flask dashboard to predict customer churn, save revenue, and sass you with an AI chatbot. Keep customers from ghosting! 📊🤖
Python library extending pivot/cross tables in Pandas. Easily add totals/subtotals and percentages to your tables.
Django grid component example with Flexmonster
Interactive UI for pivot table in Jupyter
This repository contains a project focused on predicting the total gross of theatrical movies. It utilizes Python, SQL, web scraping, linear regression, and Excel techniques. The data for this project has been sourced from Kaggle
קורס Excel מקיף בעברית - מהבסיס ועד טבלאות פיווט
Crypto Tracker: tracks coins, shows warm and cold storage, reads csv from exchange and more
A Streamlit-based app to automate shareholding statement analysis with smart merging, pivot generation, and secure local processing.
Organizador e Pivotador de CSVs
Business Trends Analysis
multiprocessing enabled out-of-memory data analysis library for tabular data.
This Is a project for a fictional website ShoeFly.com. This website published two ads and did an A/B test. Upon running the program, It displays the percentages of clicks of ad A and B. From the analysis, the website can conclude which ad has more reach.
The Reporting Engine for Django. Create dashboards and standalone Reports and Charts.
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
This project provided practice with the pandas library and data analysis
This is a demo .py file, In this code , I'm creating a pivot table using win32 to launch an excel app instance and performing the required steps.
This repository takes a *.xslx that contains a Pivot Table with hidden external source data and converts the pivot cache into CSV. It takes into account files that are too big to be in memory and handles this situation by dividing the original data into n batches.
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