Prepare and Clean the Data

[catarinalsferreira]

The raw data needs to be prepared and cleaned, using specific R packages like:

• dplyr,
• tidyverse, or
• data.table.

Data preparation should include operations like merging, aggregating, de-deduplication, reshaping, converting dates, or using regular expressions. Also writing functions , loops and potentially create new variables.

Deliverable:

• Clean data sets which are ready to be used in our analysis.

[catarinalsferreira]

hi team,

I cleaned the data and prepared it for the analysis. I created a pull request to review the code and start the analysis soon.

Thank you,

Catarina