• Iris dataset file contains five columns: o Petal_Length, o Petal_Width, o Sepal_Length, o Sepal_Width, and • Species_Type. Download the dataset from Link. Show all code in each step. 1. Retrieving Question: 1. Read dataset from csv file into a dataframe. 2. Create new column that represents the redords index and call it ID 2. Viewing Question 1. Display all information regarding the dataset. 2. Display three rows from each unique Species_Type. 3. Summarizing Question 1. For each numerical column display max, min, count, average, and median and sum. 2. Add a new column, Total, that is for each row sum all numeric values and display it in the Total column. 4. Cleaning Question: 1. Check if the dataset includes missing values. 2. Delete all rows include null values and then print the shape. 3. Check if the dataset has duplicate rows without including the ID column 4. Delete duplicates rows and then print the shape.

• Iris dataset file contains five columns: o Petal_Length, o Petal_Width, o Sepal_Length, o Sepal_Width, and • Species_Type. Download the dataset from Link. Show all code in each step. 1. Retrieving Question: 1. Read dataset from csv file into a dataframe. 2. Create new column that represents the redords index and call it ID 2. Viewing Question 1. Display all information regarding the dataset. 2. Display three rows from each unique Species_Type. 3. Summarizing Question 1. For each numerical column display max, min, count, average, and median and sum. 2. Add a new column, Total, that is for each row sum all numeric values and display it in the Total column. 4. Cleaning Question: 1. Check if the dataset includes missing values. 2. Delete all rows include null values and then print the shape. 3. Check if the dataset has duplicate rows without including the ID column 4. Delete duplicates rows and then print the shape.

COMPREHENSIVE MICROSOFT OFFICE 365 EXCE

1st Edition

ISBN:9780357392676

Author:FREUND, Steven

Publisher:FREUND, Steven

Chapter8: Working With Trendlines, Pivottables, Pivotcharts, And Slicers

Section: Chapter Questions

Problem 8EYW

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