$4.$ Parse and Process Data

Extract Relevant Data:

For each city, extract the following information:

City Name

Country

Latitude and Longitude

Local Time

Weather Condition Text $($e$.$g$.,$ "Sunny", "Partly cloudy"$)$

Temperature in Celsius

Humidity $($in $\%)$ Wind Speed $($in kph$)$

Create a pandas DataFrame:

Load the extracted data into a pandas DataFrame.

Ensure that the data types are appropriate $($e$.$g$.,$ temperatures are numeric$).$ your data frame should look like this:

$5.$ Perform Data Analysis

Descriptive Statistics:

Calculate the average temperature, humidity, and wind speed across all cities. $($hint use $.$mean$()$ pandas func$)$

Identify the city with the highest and lowest