In my Udacity Data Science Challenge, I was supposed to practice Python and create some data visuals using pandas data frames, with data. The aim of the exercise was to go through basic data types, data frames and juggling with the data so obtain a small data analysis on random data
So this ex will go through: opening file checking data types and making sense of the data date timeseries parsing one or 2 carts subplots
Insights I'm looking for:
- What products sell best
- In which place Products sell best
- Possible correlations
- Laptops sell best
- they sell best in EU
- there are many correlations according to the heatmap