Assess the Quality of a Dataset for a Public Service Agency

Cleaned and prepared data for analysis, understanding data quality and its importance in the data lifecycle, considering factors like data sensitivity, ownership, and GDPR compliance. Inspected and identified missing values, outliers, duplicates, geolocation issues, and unmatched data entries.

Tableau Netflix Dashboard

Building data visualization for Netflix movies and TV shows.

Clustering in R

Clustering is an unsupervised learning approach that organizes a dataset into clusters according to their similarities, grouping together data points with shared characteristics. In this analysis, I applied clustering techniques to the well-known iris dataset.

Data Analysis in Excel: Explore a Dataset on Energy Usage and Draw Conclusions

The primary objective was to accurately depict the electricity demand over the past years to gain insights. Some of the key functions and methods utilized include: -Min/Max, Average, Sum, Count -VLOOKUP, INDEX MATCH, XLOOKUP -IF, MAXIF -Data Analysis Tools: conditional formatting