Exploratory Data Analysis: COVID-19
+ +Analyzing Customer Churn in Excel
- EDA on Python about COVID-19 Cases in the City of Manila, Philippines from 2020-2023.
+ For subscription-based businesses, reducing customer churn is a top priority.
+ In this Excel case study, I investigated a dataset from an example telecom company Databel
+ and analyzed their churn rates.
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+ Analyzing churn doesn’t just mean knowing the churn rate:
+ it’s also about figuring out why customers are churning at the rate
+ they are and how to reduce churn.
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+ I answered these questions by creating calculated columns and fields, building PivotTables, and creating an eye-catching dashboard.