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

m-clark/noiris documentation built on Sept. 9, 2019, 9:08 a.m.