This repository contains an Exploratory Data Analysis (EDA) on customer churn data to identify key factors influencing customer retention. The analysis involves data cleaning, visualization, and insights extraction using Python and relevant data science libraries. 🗂 Dataset
Analysing dataset of NYC cabs data/ try to resolve the problem of revenue / is there any relationship between mode of payment and revenure.
Exploratory Data Analysis (EDA) and data cleaning script for a cafe sales dataset. Handles missing values, errors, and generates insights on transactions, sales trends, and correlations using Python (Pandas, NumPy, Matplotlib, Seaborn). Dataset sourced from Kaggle.
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