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.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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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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