DACSS 601 August 2022
The blog posts here are contributed by students enrolled in DACSS 601, Fundamentals of Data Science. The course provides students with an introduction to R and the tidyverse, scientific publishing, and collaboration through GitHub, building a foundation for future coursework. Students also are introduced to general data management and data wrangling skills, with an emphasis on best practice workflows and tidy data management.
Final Project
Analyzing Snapchat Political Ads in the US in 2020
Final Project
Final Project
Final Project - EDA of NIFTY50 Dataset
Cancer Incidence and Mortality Analysis across States and Age Groups
Exploratory analysis of Cancer incidence and mortality rate against the US population data between the years 2000-2019, grouped by State and Age Groups
Final Project
Reasons for Migration in Bangalore (2011)
Final Project
Final Project
Crime, Drug Usage and Demographics
Final Project - The Women Who Voted For Trump
Challenge 6 Instructions
Visualizing Time and Relationships
Challenge 5 Instructions
Introduction to Visualization
Challenge 5 Akhilesh
Introduction to Visualization
Final Project
Challenge 6 Solutions
Visualizing Time and Relationships
Challenge 7 Instructions
Visualizing Multiple Dimensions
Challenge 7 Will Munson
Visualizing Multiple Dimensions
Challenge 7 Instructions
Visualizing Multiple Dimensions
Challenge 5 Solutions
Introduction to Visualization
Challenge 6 Instructions
Visualizing Time and Relationships
Challenge 6 Will Munson
Visualizing Time and Relationships
Challenge 6
Visualizing Time and Relationships
Challenge 5 Instructions
Introduction to Visualization
Challenge 5
Introduction to Visualization
Challenge 5
Introduction to Visualization
Challenge 5 Instructions
Introduction to Visualization
Challenge 5 Will Munson
Introduction to Visualization
Homework2
Challenge 4
Challenge 4
Challenge 3
158
rows and 6
columns.
Challenge 3
Following which, the data needs to be pivoted in such a manner that the years become columns and the types of poultry become rows. This format will make it easier to select a subgroup within the types of poultry and compare the changes across years.
Nick Boonstra Challenge 3
Nick Boonstra Challenge 1 Resubmit
challenge 1
Challenge 2 - Adithya Parupudi
Data wrangling: using group() and summarise()