Question: covid19CSVData = pd.read_csv ( pathCSV ) covid19CSVData - Return the names of the columns (5 pts) - Return the data types of all the columns

 covid19CSVData = pd.read_csv ( pathCSV ) covid19CSVData - Return the names

covid19CSVData = pd.read_csv ( pathCSV ) covid19CSVData - Return the names of the columns (5 pts) - Return the data types of all the columns (5 pts) - Update the data type of each column so that the data type matches the values of the colum (10 pts). For example, if the column contains a date, the data type should be 'datetime64'. - Return the 100th row (5 pts) - Delete the column 'source' ( 5 pts) - Delete duplicate values (5 pts) - Indicate whether there are missing values (5 pts) - Delete rows with missing values (5 pts) - Sort the dataframe using the column 'user_friends' and a descending order (5 pts) - Return the maximum and minimum of 'user_friends' (5 pts) - Return the correlation matrix ( 5pts ) covid29CSvoata = pd. read_csv(pathcSv) covidhe CSYpatanselumes [146]: Index(l'user_nane', 'user_location', 'user_description', 'user_created', "user_followers', "user_friends', "user_favourites', 'user_verified", 'date', 'text', 'hashtags', 'source', 'is_retweet']. dtype='object')

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