Smoking Cessation Trends Analysis
"Explore smoking cessation trends through data analytics. Analyze the impact of a quitting app, identify successful user attributes, and evaluate methods of quitting. Utilize Python for data processing and statistical calculations to uncover insights for effective smoking cessation strategies."
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Presentation Transcript
Data Analytics Challenge: Identifying trends in smoking cessation reports By: Rachael Bader, Emily Lofing and Artem Sakhartchouk
How Can You Eliminate the Harmful Effects of Smoking on Society? Quitter s Circle App launched by Pfizer in 2015 to help smokers quit by tracking events Spreadsheet of user information and their activity available for use in this project Analysis Find of what the attributes are of the most frequent users Attempt to find what attributes of the successful frequent users Attempt to find attributes of people least likely to keep using the app
Approach Use Python to read data from .csv files of the Excel file Using the events spreadsheet, calculate the number of logins for each user ID Use this data to determine the success rate based on app usage Get statistics for each of the categories asked of users Put results into Excel sheets to create graphs with results
Calculating statistics for each question
