Python Use any dataset of your choice How to print summary of your dataset without using pandas inbuilt function
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Python
Use any dataset of your choice
How to print summary of your dataset without using pandas inbuilt function
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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 87898Using Pandas create a function that takes as input the data set (for example: sets) and returns the total number of rows in the data (as an integer)The file named Ch21p1.xlsx contains data about unit sales for 11 products during the years1999–2003. Write a formula using the MATCH and OFFSET functions that determines the sales ofa given product during a given year. Can you think of another way to solve this problem without using the MATCH and OFFSET functions?
- Write the code in python for a through d. a. Import data into notebook as pandas Dataframe.b. Sort the data by year so that the latest vehicles (alphabetic A-Z) are shown first.c. Filter data that would show vehicles after 2005, sorted by msrp highest to lowestd. Filter only hybrid pickups (i.e., class), sorted by mpg lowest to highestWant all subpartCan you add new data to a dataset that has been normalized using the decimal scaling normalization method?
- The average amount Sold function is not run as expect. Please fix it. The input file: sales.txt header in picture. It is over 5000 char. I can't copy. 13492785 2017 Jane North; 1000 78534520 2012 Tim South; 95020192756 2017 Linda East; 15000 19273458 2012 Paul West; 500078520192 2017 Mary Jane Doe; 5001 32278520 2012 Victor Smith; 799514278520 2012 Mary Johnson; 12056192785 2017 Tom Baker; 1300 88278529 2012 Diana Newman; 150089278527 2012 William Peterson; 1420098278528 2012 Jim Gaddis; 120099192785 2017 Laura King; 1000 43278524 2012 Ann McDonald; 2000 The output expect: in picture. #include "Sales.h"#include <iostream>#include <sstream>#include <iomanip>#include <fstream>#include <string>using namespace std; const int MAX_SIZE = 30; void readData(string fileName, Sales salesArr[], int n);double calcSalesAvg(Sales salesArr[], int n);void displayOverAvg(Sales salesArr[], int n, double avg);void writeReport(Sales salesArr[], int n, string…Write R programing to perform the following: Q1 Read voter.xlsx file and store all data in a data frame. a. Using filter function, find all female voters whose age is between 30 and 40 (both inclusive). b. Using filter function, find all voters whose district code and zip code are odd numbers. c. Using filter and arrange functions, sort all voters in 77002 by age in descending order. d. Using filter, arrange, and select functions, sort all male voters by name in ascending order and display only their names, voter IDs, and ages. e. Using filter and select functions, display only the name and gender of the voters whose district ID is less than 10 and zip code is greater than 77010. f. Using mutate function, add Voting Day column by getting the remainder of District ID divided by 7 and adding 1 to the remainder. Therefore, voting day of each voter will be a number from 1 to 7. For instance, the voting day of Heather will be 2 since her district ID is 92 and the remainder of 92/7 is 1. g.…Use Python Code Your task is : Number of reported COVID-19 deaths by country. (Use pandas to read the csv table. Example : df = pd.read_csv('Covid19Deaths.csv') then do the code using the dataframe) COVID-19 Deaths table (csv): Province/State Country/Region Lat Long ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 2/1/2020 2/2/2020 2/3/2020 2/4/2020 2/5/2020 2/6/2020 2/7/2020 2/8/2020 2/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 3/1/2020 3/2/2020 3/3/2020 3/4/2020 3/5/2020 3/6/2020 3/7/2020 3/8/2020 3/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 4/1/2020 4/2/2020 4/3/2020 4/4/2020 4/5/2020 4/6/2020 4/7/2020 Afghanistan 33 65 0 0 0 0 0 0 0 0…
- Use import sys. Use the german_credit_data.csv file to complete the following assignment. Create a file, german.py, that loads the .csv file and runs a regression predicting credit amount from age and duration, in that order. Add a constant using sm.add_constant(data). You will need to rename the column 'Credit amount' and should change it to 'Credit_amount'. Note: you will not need to upload the .csv to CodeGrade because I have pre-loaded it. Then, print the parameters and R-squared to 2 decimals using print(model.params.round(2)) print(model.rsquared.round(2))Load the given data set into Google Colab python 1. In USD, find the average salary of Data Scientists as well as the standard deviation. 2. List each unique Job Title 3. For each unique Job Title, find their average salary (USD) and standard deviations. https://uc-bcf.instructure.com/courses/28339/files/5680123?verifier=fXym8nGyMe7CmvKYy7QmRDfcunF4DZwhuqakH1rL&wrap=1Use the R data set “anscombe” to save a subset of all the columns of the data except x4 and y4