Files in m-clark/noiris
Data sets
.Rbuildignore
.gitattributes
.gitignore
DESCRIPTION
NAMESPACE
R/big_five.R
R/data.R
R/fashion_train.R
R/fish.R
R/gapminder.R
R/gender_gap.R
R/google_apps.R
R/heart_disease.R
R/instructor_evaluations.R
R/kiva.R
R/movielens.R
R/noiris-package.R
R/pisa.R
R/retirement.R
R/sp500.R
R/star_wars.R
R/water_risk.R
R/wine_reviews.R
R/world_happiness.R
README.Rmd
README.md
code-of-conduct.md
data-raw/401k.dta
data-raw/big_five.R
data-raw/fashion-mnist/fashion-mnist_test.csv
data-raw/fashion-mnist/fashion-mnist_train.csv
data-raw/fashion.R
data-raw/fish.R
data-raw/gapminder.R
data-raw/gapminder/gini.csv
data-raw/gapminder/income_per_person_gdppercapita_ppp_inflation_adjusted.csv
data-raw/gapminder/life_expectancy_years.csv
data-raw/gapminder/population_total.csv
data-raw/gender-gap/wef_gender_gap.csv
data-raw/gender_gap.R
data-raw/get_all_results.R
data-raw/google-play-store-apps/googleplaystore.csv
data-raw/google-play-store-apps/googleplaystore_user_reviews.csv
data-raw/google-play-store-apps/license.txt
data-raw/google_apps.R
data-raw/heart-disease/heart.csv
data-raw/heart-disease/heart_disease.R
data-raw/heart-disease/processed.cleveland.data
data-raw/insteval.R
data-raw/kiva.R
data-raw/kiva/kiva_loans.csv
data-raw/kiva/kiva_mpi_region_locations.csv
data-raw/kiva/loan_theme_ids.csv
data-raw/kiva/loan_themes_by_region.csv
data-raw/movielens.R
data-raw/movielens/ml-latest/movies.csv
data-raw/movielens/ml-latest/ratings.csv
data-raw/noiris.png
data-raw/pisa.R
data-raw/pisa/PISAExport-Jun302019.xls
data-raw/pisa/PISAExport-Jun302019.xlsx
data-raw/retirement.R
data-raw/sp500.R
data-raw/star_wars.R
data-raw/water-risk/aqueduct-30-country-rankings.xlsx
data-raw/water-risk/country_data.xlsx
data-raw/water_risk.R
data-raw/wine.R
data-raw/wine/wine.csv
data-raw/wine/winemag-data-130k-v2.csv
data-raw/wine/winemag-data_first150k.csv
data-raw/world-happiness/world-happiness-report-2015-direct.xlsx
data-raw/world-happiness/world-happiness-report-2015.csv
data-raw/world-happiness/world-happiness-report-2016-direct.xlsx
data-raw/world-happiness/world-happiness-report-2016.csv
data-raw/world-happiness/world-happiness-report-2017-direct.xlsx
data-raw/world-happiness/world-happiness-report-2017.csv
data-raw/world-happiness/world-happiness-report-2018-direct.xlsx
data-raw/world-happiness/world-happiness-report-2018.csv
data-raw/world-happiness/world-happiness-report-2019-direct.xlsx
data-raw/world-happiness/world-happiness-report-2019.csv
data-raw/world_happiness.R
data/big_five.rda
data/fashion_test.rda
data/fashion_train.rda
data/films.rda
data/films_names.rda
data/fish.rda
data/gapminder_2019.rda
data/gender_gap.rda
data/gender_gap_2018.rda
data/google_apps.rda
data/heart_disease.rda
data/instructor_evaluations.rda
data/kiva.rda
data/movielens.rda
data/people.rda
data/people_names.rda
data/pisa.rda
data/planets.rda
data/planets_names.rda
data/retirement.rda
data/sp500.rda
data/species.rda
data/species_names.rda
data/star_wars.rda
data/starships.rda
data/starships_names.rda
data/vehicles.rda
data/vehicles_names.rda
data/water_risk.rda
data/water_risk_province.rda
data/wine_quality.rda
data/wine_reviews.rda
data/world_happiness.rda
man/big_five.Rd
man/fashion_train.Rd
man/fish.Rd
man/gapminder_2019.Rd
man/gender_gap.Rd
man/google_apps.Rd
man/heart_disease.Rd
man/instructor_evaluations.Rd
man/kiva.Rd
man/movielens.Rd
man/noiris.Rd
man/pisa.Rd
man/retirement.Rd
man/sp500.Rd
man/star_wars.Rd
man/water_risk.Rd
man/wine_reviews.Rd
man/world_happiness.Rd
noiris.Rproj
