Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.

For this discussion, you will collect data from a public source and calculate descriptive statistics, including measures of central tendency and variability. You will then interpret the results and provide feedback to your peers.

In your initial post, use the World Temperatures website $($or a similar website of your choice$)$ to find the daily maximum temperature data rounded to the nearest integer $($whole number$)$ in your city or zip code for the past fourteen days. You will use this data set to calculate measures of central tendency and variability. You will also provide a detailed analysis based on your results.

In your initial post, address the following items:

Share your data set. See Step $1$ in the Python script.

What were your descriptive statistics for this data set? Report the mean, median, variance, and standard deviation. Based on these statistics, what can you say about the distribution of daily maximum temperature in your city or zip code? Use all of the statistics that you calculated to explain the distribution in detail. See Step $2$ in the Python script.

Which graph showed the general trend of daily maximum temperature in your city or zip code? See Step $3$ in the Python script.

In general, how are the measures of central tendency and variability used to analyze a data distribution?pop use the website to figure out michigans weather