02 Daten importieren
2021-11-29
Zunächst laden Sie die Library Tidyverse, in der weitere Libraries enthalten sind:
library(tidyverse)
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
## ✓ ggplot2 3.3.3 ✓ purrr 0.3.4
## ✓ tibble 3.1.2 ✓ dplyr 1.0.6
## ✓ tidyr 1.1.3 ✓ stringr 1.4.0
## ✓ readr 1.4.0 ✓ forcats 0.5.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
Passen Sie den Pfad an, je nachdem, wo Sie die die Daten gespeichert haben:
IMDb_movies <- read_csv("data/IMDb_movies.csv")
##
## ── Column specification ────────────────────────────────────────────────────────
## cols(
## .default = col_character(),
## year = col_double(),
## duration = col_double(),
## avg_vote = col_double(),
## votes = col_double(),
## metascore = col_double(),
## reviews_from_users = col_double(),
## reviews_from_critics = col_double()
## )
## ℹ Use `spec()` for the full column specifications.
## Warning: 1 parsing failure.
## row col expected actual file
## 83918 year a double TV Movie 2019 'data/IMDb_movies.csv'
Lassen Sie sich die ersten Zeilen des Datensatzes anzeigen:
head(IMDb_movies)
## # A tibble: 6 x 22
## imdb_title_id title original_title year date_published genre duration country
## <chr> <chr> <chr> <dbl> <chr> <chr> <dbl> <chr>
## 1 tt0000009 Miss… Miss Jerry 1894 1894-10-09 Roma… 45 USA
## 2 tt0000574 The … The Story of … 1906 1906-12-26 Biog… 70 Austra…
## 3 tt0001892 Den … Den sorte drøm 1911 1911-08-19 Drama 53 German…
## 4 tt0002101 Cleo… Cleopatra 1912 1912-11-13 Dram… 100 USA
## 5 tt0002130 L'In… L'Inferno 1911 1911-03-06 Adve… 68 Italy
## 6 tt0002199 From… From the Mang… 1912 1913 Biog… 60 USA
## # … with 14 more variables: language <chr>, director <chr>, writer <chr>,
## # production_company <chr>, actors <chr>, description <chr>, avg_vote <dbl>,
## # votes <dbl>, budget <chr>, usa_gross_income <chr>,
## # worlwide_gross_income <chr>, metascore <dbl>, reviews_from_users <dbl>,
## # reviews_from_critics <dbl>