Using data wrangling and data visualization technique with storytelling, analyze the data and present different (i) data frames; and (ii) visuals using the dataset given. . Create the following data frames based on the format provided: Example: Vis = [“Name”, “Gender”, “Track”, “Math<70”]; hometown is constant as Visayas Output: Name Gender Track Math S4 Male Instrumentation 65 S11 Female Communication 48 S22 Female Communication 64 a. Filename: Instru = [“Name”, “GEAS”, “Electronics >70”]; where track is constant as Instrumentation and hometown Luzon b.Filename: Mindy = [ “Name”, “Track”, “Electronics”, “Average >=55”]; where hometown is constant as Mindanao and gender Female
Using data wrangling and data visualization technique with storytelling, analyze the data and present different (i) data frames; and (ii) visuals using the dataset given. . Create the following data frames based on the format provided: Example: Vis = [“Name”, “Gender”, “Track”, “Math<70”]; hometown is constant as Visayas Output: Name Gender Track Math S4 Male Instrumentation 65 S11 Female Communication 48 S22 Female Communication 64 a. Filename: Instru = [“Name”, “GEAS”, “Electronics >70”]; where track is constant as Instrumentation and hometown Luzon b.Filename: Mindy = [ “Name”, “Track”, “Electronics”, “Average >=55”]; where hometown is constant as Mindanao and gender Female
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Using data wrangling and data visualization technique with
storytelling, analyze the data and present different (i) data frames; and (ii) visuals using the dataset given.
. Create the following data frames based on the format provided:
Example: Vis = [“Name”, “Gender”, “Track”, “Math<70”]; hometown is constant as Visayas
Output:
Name | Gender | Track | Math |
S4 | Male | Instrumentation | 65 |
S11 | Female | Communication | 48 |
S22 | Female | Communication | 64 |
a. Filename: Instru = [“Name”, “GEAS”, “Electronics >70”]; where track is constant as
Instrumentation and hometown Luzon
b.Filename: Mindy = [ “Name”, “Track”, “Electronics”, “Average >=55”]; where hometown is
constant as Mindanao and gender Female
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