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1. Project introduction [1 Describe the project aim and the chosen dataset in terms of source and columns. 2. Analysis Questions: | You need to define 10 questions for the chosen dataset in order to analyze and visualize its data. Your 10 questions must have the constraints as shown below. Question1: Data Analysis using statistical methods. Question2,3: Data Analysis using conditional filtering with more than one condition. Question4: Data Analysis using group the data by column(s) Question5: Data Analysis using sorting the data in ascending/ descending order. Question6,7: Data Analysis using combination of sorting, condition filter and/or grouping. Question8,9,10: Visualize data using a chart with proper headings and legends. These 10 questions should be relevant, by providing useful information that may help in making decisions. Example of irrelevant questions: How many columns? Show the 6 first rows, ... Questions related to reading data, cleaning data are NOT objectives. Example of relevant questions: How many students from Engineering Division got more than 89 marks? Display the number of students registered by each division using a pie chart.

1. Project introduction [1 Describe the project aim and the chosen dataset in terms of source and columns. 2. Analysis Questions: | You need to define 10 questions for the chosen dataset in order to analyze and visualize its data. Your 10 questions must have the constraints as shown below. Question1: Data Analysis using statistical methods. Question2,3: Data Analysis using conditional filtering with more than one condition. Question4: Data Analysis using group the data by column(s) Question5: Data Analysis using sorting the data in ascending/ descending order. Question6,7: Data Analysis using combination of sorting, condition filter and/or grouping. Question8,9,10: Visualize data using a chart with proper headings and legends. These 10 questions should be relevant, by providing useful information that may help in making decisions. Example of irrelevant questions: How many columns? Show the 6 first rows, ... Questions related to reading data, cleaning data are NOT objectives. Example of relevant questions: How many students from Engineering Division got more than 89 marks? Display the number of students registered by each division using a pie chart.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter9: Quadratic Functions And Equations
Section9.8: Analyzing Functions With Successive Differences
Problem 2BGP
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1. Project introduction [1 Describe the project aim and the chosen dataset in terms of source and columns. 2. Analysis Questions: | You need to define 10 questions for the chosen dataset in order to analyze and visualize its data. Your 10 questions must have the constraints as shown below. Question1: Data Analysis using statistical methods. Question2,3: Data Analysis using conditional filtering with more than one condition. Question4: Data Analysis using group the data by column(s) Question5: Data Analysis using sorting the data in ascending/ descending order. Question6,7: Data Analysis using combination of sorting, condition filter and/or grouping. Question8,9,10: Visualize data using a chart with proper headings and legends. These 10 questions should be relevant, by providing useful information that may help in making decisions. Example of irrelevant questions: How many columns? Show the 6 first rows, ... Questions related to reading data, cleaning data are NOT objectives. Example of relevant questions: How many students from Engineering Division got more than 89 marks? Display the number of students registered by each division using a pie chart.
Transcribed Image Text:1. Project introduction [1 Describe the project aim and the chosen dataset in terms of source and columns. 2. Analysis Questions: | You need to define 10 questions for the chosen dataset in order to analyze and visualize its data. Your 10 questions must have the constraints as shown below. Question1: Data Analysis using statistical methods. Question2,3: Data Analysis using conditional filtering with more than one condition. Question4: Data Analysis using group the data by column(s) Question5: Data Analysis using sorting the data in ascending/ descending order. Question6,7: Data Analysis using combination of sorting, condition filter and/or grouping. Question8,9,10: Visualize data using a chart with proper headings and legends. These 10 questions should be relevant, by providing useful information that may help in making decisions. Example of irrelevant questions: How many columns? Show the 6 first rows, ... Questions related to reading data, cleaning data are NOT objectives. Example of relevant questions: How many students from Engineering Division got more than 89 marks? Display the number of students registered by each division using a pie chart.
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