A Practical Approach to Timeseries Forecasting Using Python - Birth Rate Range Plot

The video tutorial covers the analysis of birth rate data on a yearly basis. It explains how to determine the minimum, maximum, mean, and standard deviation of birth rates for each year. The tutorial guides viewers through the process of preparing and grouping data by year, followed by plotting the data to visualize these statistics. It also demonstrates how to enhance the plot with colors, labels, and legends for better understanding. The video concludes with insights drawn from the plotted data, helping viewers understand the performance of the dataset and how to apply similar techniques to other features.

What statistical measures are calculated for the birth rate in each year?

• Interquartile range, skewness, kurtosis, and percentile

• Minimum, maximum, mean, and standard deviation

• Sum, product, difference, and quotient

• Median, mode, range, and variance

What is the first step in setting up the plot for birth rate analysis?

• Writing PLT dot figure and setting the figure size

• Determining the range of birth rates

• Grouping data by month

• Calculating the median of birth rates

Which command is used to plot the maximum birth rate values?

• PLT dot scatter

• PLT dot bar

• PLT dot plot

• PLT dot histogram

Which color combination is used for the plot lines representing maximum, mean, and minimum values?

• Blue, green, red, black

• Cyan, magenta, yellow, black

• Yellow, purple, orange, pink

• Green, red, black, blue

What is the purpose of the fill_between command in the plot?

• To fill the area between minimum and maximum values

• To change the color of the plot lines

• To add a legend to the plot

• To highlight the mean value

What is the font size set for the X and Y labels in the plot?

• 16

• 12

• 14

• 10

Where is the legend placed in the plot?

• Top left corner

• Bottom right corner

• Best fit location

• Center of the plot