Databases & SQL · Articles & Blog Posts
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Analysis of user activity and variability Variability +
Databases & SQL
Calculated key indicators of user age variability:
Average age
Standard deviation
Median
Interquartile range
10th and 90th percentiles
Conducted user engagement assessment:
Counted DAU (Daily Active Users)
Counted WAU (Weekly Active Users)…
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Time of play and user analysis
Databases & SQL
Calculated key metrics for games: Total Revenue, Paid Users Count, CR to Paid, ARPPU, average/median/minimum/maximum age of paying users.
Built a summary row with Total metrics.
Written analytical conclusions and hypotheses regarding the reasons for…
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Key metrics of the subscription model for the mobile application
Databases & SQL
Developed an interactive analytical dashboard in Tableau for visualization and analysis of financial metrics of a SaaS product. The main goal is to track revenue dynamics, the number of paying users, and the average revenue per paying user (ARPPU)…
