Hi there! The following should work:
library(tidyverse)
# Create dummy data
moviedata <- tribble(
~budget, ~screens, ~aggregate_followers,
1200000, 750, 200,
1500000, 1500, 320,
8500000, 3000, 400,
NA, 1800, 900,
4400000, NA, 850,
NA, 5000, NA,
3020000, 8500, NA
)
# Use gather() to convert to long format
moviedf <- moviedata %>%
gather(`budget`, `screens`, `aggregate_followers`,
key = "attribute", value = "value",
na.rm = TRUE)
# View new dataframe
moviedf
#> # A tibble: 16 x 2
#> attribute value
#> * <chr> <dbl>
#> 1 budget 1200000
#> 2 budget 1500000
#> 3 budget 8500000
#> 4 budget 4400000
#> 5 budget 3020000
#> 6 screens 750
#> 7 screens 1500
#> 8 screens 3000
#> 9 screens 1800
#> 10 screens 5000
#> 11 screens 8500
#> 12 aggregate_followers 200
#> 13 aggregate_followers 320
#> 14 aggregate_followers 400
#> 15 aggregate_followers 900
#> 16 aggregate_followers 850
Created on 2018-10-01 by the reprex package (v0.2.0).
Notice that I created some dummy data to solve this. Generally, it's helpful to include a reprex (short for reproducible example) when you ask a question - this will ensure we're all looking at the same data and code. A guide for creating a reprex can be found here.
I hope this helps!