The Task
In this take-home exercise, you are required to apply the skills you had learned in Lesson 1 and Hands-on Exercise 1 to reveal the demographic of the city of Engagement, Ohio USA by using appropriate static statistical graphics methods. The data should be processed by using appropriate tidyverse family of packages and the statistical graphics must be prepared using ggplot2 and its extensions.
Survival Tip
Start with Participants data file in the Attributes folder.
Submission Instructions
This is an individual assignment. You are required to work on the take-home exercises and prepare submission individually.
- The take-home exercise submission must be written by using distill for R Markdown. It can be in either distill article or distill blog format. You are required to publish the exercise on Netlify and provide the link on the take-home exercise submission page on elearn.
- You are also required to push the take-home exercise folder and data onto your individual Github repository and provide the link on the take-home exercise submission page on eLearn.
Submission date
Your completed take-home exercise is due on 24th April 2022, by 11:59pm evening.
Learning from the senior
Peer Learning
- ALOYSIUS TENG
- ANTONIUS HANDY
- CHE XUAN
- CHU YI-NING
- CUI JIARUI
- DAVID KWOK WEI XIANG
- DING YANMU
- HERANSHAN SO SUBRAMANIAM
- HUANG ANNI
- HUANG YAPING
- HULWANA BINTE SAIFULZAMAN
- KIM BOMIN
- LAM KUO JIAN JEREMIAH
- LEE XIAO QI
- LI HONGYI
- LI HUAN
- LI MINQI
- LIU ZHENGLIN
- LONG
NU. A good example on using appropriate ggplot2’s functions to build
enlightening statistical graphics. Section 2.3 Data Wrangling shows how
to use appropriate functions of dplyr package and
%>%to perform data wrangling.
- NI JUNQIU
- ONG ZHI RONG JORDAN
- RAKENDU RAMESH
- RAO NINGZHEN
- RAUNAK KAPUR
- RAVEENA CHAKRAPANI
- SHACHI ANIRUDHA RAODEO
- SUI TIANYUE
- TAY CHENG WEI CLARENCE
- TSENG CHIA-YI
- WANG TIANQI
- XIAO YUHE
- YEO KIM SIANG
- YU DI