What's the python code for this Mr.Jo Jo found that "tweetid, created-at and username" columns are sensitive thusdecided to mask the values from those columns. He created new columns "new-tweet-id","created-at4" to store the masked "tweet-ids" and masked "created-at"values. He decided to use "username" column to store masked usernames.Now, analyze the following output figure to do essential mask operations.new_tweet_idcreated_at4 username0 301767309855683251 Wednesday/February/16yyy1 041287076781383229Tuesday/February/16yyy2 170242984208083188Monday/February/16yyy3 346316860619394606Tuesday/December/16yyy4 994889748559394597Tuesday/December/16yyy5 267857845400294597Tuesday/December/16yyy6 900486039855694560Monday/December/16yyy7 876166652354594559Monday/December/16yyy8 244167927104594559Monday/December/16yyy9 478403164894494430Thursday/December/16yyy

Answer: Python Source Code: import pandas as pddf = pd.DataFrame({"tweet_id":[3017, 412, 1702, 3463,…

Mr.Jo Jo found that "tweetid, created-at and username" columns are sensitive thus decided to mask the values from those columns. He created new columns "new- tweet-id","created-at4" to store the masked “tweet-ids" and masked "created-at" values. He decided to use "username" column to store masked usernames. Now, analyze the following output figure to do essential mask operations. new_tweet_id created_at4 username O 301767309855683251 Wednesday/February/16 yyy 1 041287076781383229 Tuesday/February/16 yyy 2 170242984208083188 Monday/February/16 yyy 3 346316860619394606 Tuesday/December/16 yyy 4 994889748559394597 Tuesday/December/16 yyy 5 267857845400294597 Tuesday/December/16 yyy 6 900486039855694560 Monday/December/16 yyy 7 876166652354594559 Monday/December/16 yyy 8 244167927104594559 Monday/December/16 yyy 9 478403164894494430 Thursday/December/16 yyy

Mr.Jo Jo found that "tweetid, created-at and username" columns are sensitive thus decided to mask the values from those columns. He created new columns "new- tweet-id","created-at4" to store the masked “tweet-ids" and masked "created-at" values. He decided to use "username" column to store masked usernames. Now, analyze the following output figure to do essential mask operations. new_tweet_id created_at4 username O 301767309855683251 Wednesday/February/16 yyy 1 041287076781383229 Tuesday/February/16 yyy 2 170242984208083188 Monday/February/16 yyy 3 346316860619394606 Tuesday/December/16 yyy 4 994889748559394597 Tuesday/December/16 yyy 5 267857845400294597 Tuesday/December/16 yyy 6 900486039855694560 Monday/December/16 yyy 7 876166652354594559 Monday/December/16 yyy 8 244167927104594559 Monday/December/16 yyy 9 478403164894494430 Thursday/December/16 yyy

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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