https://www.youtube.com/watch?v=ead8i9CI0Hk
In this video, I walk through the PIL dataset, focusing on the raw data and descriptive statistics by month. I created pivot tables and charts to visualize average units, unit dwells, and average dwells, highlighting their differences over the months. I also discussed normalizing the data to better compare trends and correlations, particularly between February and March. I encourage you to review the charts and consider how we can further analyze the data by filtering for different variables like countries and container types. Please let me know your thoughts on this approach and any additional insights you might have!
00:00 Introduction to Data Set
01:55 Chart Type Adjustment
06:34 Average Units Analysis
08:26 Chart Visualization Strategy
11:28 Seasonality Analysis
17:40 Correlation Insights
https://www.youtube.com/watch?v=ead8i9CI0Hk
In this video, I walk through the PIL dataset, focusing on the raw data and descriptive statistics by month. I created pivot tables and charts to visualize average units, unit dwells, and average dwells, highlighting their differences over the months. I also discussed normalizing the data to better compare trends and correlations, particularly between February and March. I encourage you to review the charts and consider how we can further analyze the data by filtering for different variables like countries and container types. Please let me know your thoughts on this approach and any additional insights you might have!
00:00 Introduction to Data Set
01:55 Chart Type Adjustment
06:34 Average Units Analysis
08:26 Chart Visualization Strategy
11:28 Seasonality Analysis
17:40 Correlation Insights