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dataset in picture Use the given dataset to perform the following using python: Name of dataframe (your reg_no+your_name) Import the given data set Find out its header and information Calculate the mean, median and mode of covid_deaths, covid_recoveries, and covid_cases Find out the total of covid affected cases(all three cases) in all countries Find out the total of covid related deaths in all countries Countries covid_deaths covid_recoveries covid_cases Pakistan 10000 520000 55000 India 12000 120000 130000 Bangladesh 14000 123000 120000 Srilanka 19000 213000 45000 Bhutan 12000 212 44000 Nepal 1000 9000 12300 Australia 80000 560000 32100 Singapore 2000 130000 12345 England 100000 320000 89765 USA 100000 890000 87898

dataset in picture Use the given dataset to perform the following using python: Name of dataframe (your reg_no+your_name) Import the given data set Find out its header and information Calculate the mean, median and mode of covid_deaths, covid_recoveries, and covid_cases Find out the total of covid affected cases(all three cases) in all countries Find out the total of covid related deaths in all countries Countries covid_deaths covid_recoveries covid_cases Pakistan 10000 520000 55000 India 12000 120000 130000 Bangladesh 14000 123000 120000 Srilanka 19000 213000 45000 Bhutan 12000 212 44000 Nepal 1000 9000 12300 Australia 80000 560000 32100 Singapore 2000 130000 12345 England 100000 320000 89765 USA 100000 890000 87898

Database System Concepts
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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dataset in picture

  1. Use the given dataset to perform the following using python:
  2. Name of dataframe (your reg_no+your_name)
  3. Import the given data set
  4. Find out its header and information
  5. Calculate the mean, median and mode of covid_deaths, covid_recoveries, and covid_cases
  6. Find out the total of covid affected cases(all three cases) in all countries
  7. Find out the total of covid related deaths in all countries
Countries covid_deaths covid_recoveries covid_cases
Pakistan 10000 520000 55000
India 12000 120000 130000
Bangladesh 14000 123000 120000
Srilanka 19000 213000 45000
Bhutan 12000 212 44000
Nepal 1000 9000 12300
Australia 80000 560000 32100
Singapore 2000 130000 12345
England 100000 320000 89765
USA 100000 890000 87898
ITCLABFINALCSV - Excel File Home Insert Page Layout Formulas Data Review View Power Pivot O Tell me what you want to do... Usama Sarwar & Share % Cut E AutoSum - Calibri 11 EWrap Text General Normal Bad Good Ee Copy - V Fill - Paste BIU- A - O Merge & Center - $ - % , e0 .00 .00 Conditional Format as Neutral Calculation Check Cell Insert Delete Format Sort & Find & V Format Painter Formatting - Table - Clear Filter - Select - Clipboard Font Alignment Number Styles Cells Editing D11 fr 87898 A B C F G H K M N P R V 1 Countries covid_dea covid_recc covid_cases 2 Pakistan 3 India 4 Bangladesl 5 Srilanka 6 Bhutan 7 Nepal 8 Australia 9 Singapore 10 England 11 USA 10000 520000 55000 12000 120000 130000 14000 123000 120000 19000 213000 45000 12000 212 44000 1000 9000 12300 80000 560000 32100 2000 130000 12345 100000 320000 89765 100000 890000 87898| 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Transcribed Image Text:ITCLABFINALCSV - Excel File Home Insert Page Layout Formulas Data Review View Power Pivot O Tell me what you want to do... Usama Sarwar & Share % Cut E AutoSum - Calibri 11 EWrap Text General Normal Bad Good Ee Copy - V Fill - Paste BIU- A - O Merge & Center - $ - % , e0 .00 .00 Conditional Format as Neutral Calculation Check Cell Insert Delete Format Sort & Find & V Format Painter Formatting - Table - Clear Filter - Select - Clipboard Font Alignment Number Styles Cells Editing D11 fr 87898 A B C F G H K M N P R V 1 Countries covid_dea covid_recc covid_cases 2 Pakistan 3 India 4 Bangladesl 5 Srilanka 6 Bhutan 7 Nepal 8 Australia 9 Singapore 10 England 11 USA 10000 520000 55000 12000 120000 130000 14000 123000 120000 19000 213000 45000 12000 212 44000 1000 9000 12300 80000 560000 32100 2000 130000 12345 100000 320000 89765 100000 890000 87898| 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
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