A Practical Approach to Timeseries Forecasting Using Python - Monthly Birth Distribution Plot and Birth Rate Plot

The video tutorial covers the analysis of birth data by month, focusing on distribution and birth rate. It begins with setting up a plot using PLT, grouping data by month, and calculating the mean for visualization. The tutorial explains the plotted data and its significance, then modifies the code to calculate the birth rate per month. It discusses trends and patterns observed in the data, such as seasonal variations. The video concludes with plans for future analysis on daily birth distribution.

What is the main purpose of grouping the data by month in the analysis?

What is the significance of calculating the mean in the context of this analysis?

Describe the steps taken to create a bar plot for the distribution of births per month.

How does the analysis account for variations in birth rates across different months?

What changes need to be made to the code to display the birth rate per month instead of the number of births?

Explain why the birth rate might be higher in certain months, such as August.

What additional analyses could be performed to understand birth trends over time?