Tell the commands for python jupyter pandas manipulation required for these operations. 1* Import required module for reading file 2* Read the file 3* show info of all dataset 4* show description of all dataset
Tell the commands for python jupyter pandas manipulation required for these operations.
1* Import required module for reading file
2* Read the file
3* show info of all dataset
4* show description of all dataset
5* show first 12 rows in dataset
6* show last 7 rows in dataset
7* check the shape of dataset
8* show the total columns in dataset
9* find the length of columns in dataset
10* find the missing values in dataset
11* drop the missing valuses and save your dataset
12* again find the shape of your dataset
13* find the type of columns name " Size "
14* remove M from columns size
15* order the data with respect to columns size
16* find the data from app colums whose name is BOX
17* find the sum of data from app colums whose name is BOX
18* find the unique Genres in Genres columns
19* filter the data whose Genres is business and save the data
20* find the total free app in dataset
21* filter the data whose rating is more the 4.2
22* convert the review columns into float datatype and sort the columns
23* find the unique values in Type columns
24* seprate the free app in dataset¶
25* seprate the paid app in dataset
26* save the data filter in question 24 into new excel file
27* find the shape of both seprate dataset in question 24,25
28* apply for loop in Category columns and append the data in new list whose Category is SOCIAL,GAME
29* Give example of dictionary and how we can add new value in dictionary give exaple with code
30* how to remove the last index from list , give example with code
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