Topics For Project

[wybrian1006]

1. Avocado Prices (https://www.kaggle.com/neuromusic/avocado-prices)

2. Census Income Data Set (https://archive.ics.uci.edu/ml/datasets/Census+Income)

[wybrian1006]

• Presentation (15 mins)

  1. Background -Evolution&Inspiration
  2. Features -Fundamental -Advanced
  3. Compare to Python (or Java)

• Application (10 minutes)

  1. Visualized data -Avocado prices -Census Income
  2. Make prediction -Amount of transaction for specific days in bakery -Heart Disease Likelihood -Hypothetical model

[whyskevin]

Link to government datasets: https://www.data.gov/

Crime from 2010 - Present (Los Angeles): https://catalog.data.gov/dataset/crime-data-from-2010-to-present

Job Applications by Gender/Ethnicity (Los Angeles): https://catalog.data.gov/dataset/applicant-information-from-7-1-2014-to-9-30-2014-7835b

[whyskevin]

Census Income Important categories to look at: age, education, race, hours-per-week, income Data visuals: boxplot, histogram, bar graph

ggplot2 cheatsheet:https://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf

[whyskevin]

https://www.analyticsvidhya.com/blog/2016/02/complete-tutorial-learn-data-science-scratch/#two

https://r4ds.had.co.nz/data-visualisation.html#statistical-transformations