Joining Data Sets

I have two data sets that I merged together using the dplyr::left_join function. When doing this, the common named columns "joined" properly. My last column that had no common named columns, which is also a numerical column, turned all my numerical values into NAs. How can I keep my numerical values while joining the two datasets

Can you please share a small part of the data sets in a copy-paste friendly format?

In case you don't know how to do it, there are many options, which include:

  1. If you have stored the data set in some R object, dput function is very handy.

  2. In case the data set is in a spreadsheet, check out the datapasta package. Take a look at this link.

I can see why it wouldn't.. Those NAs are supposed to be under salary, for example

So, should I do a reprex for nba_stats3 now? Was the last bit of data sufficient for what is needed for nba_salaries2? Or was that something entirely different than a sample of nba_salaries2

Please read the guide I gave you more carefully, you need to provide sample data (in a copy/paste friendly format) that allows us to run your code on our own, see what is going on and give you a solution.

I'm unable to fix the error messages that populate when attempting to render the reprex. Not sure what else to try as I may be making a bigger mess than I'm attempting to clean up

This is a reproducible example of making a left_join() (which means you can simply copy the code as it is and make it work on your computer). Try to make one that shows your issue.

library(dplyr)

# Sample data on a copy/paste friendly format
nba_salary <- data.frame(
    stringsAsFactors = FALSE,
    Players = c("Stephen Curry","Chris Paul","Russell Westbrook",
                "John Wall","James Harden","LeBron James",
                "Kevin Durant","Blake Griffin","Kyle Lowry",
                "Paul George"),
    Salary = c(40231758,
               38506482,38178000,37800000,37800000,
               37436858,37199000,34234964,33296296,33005556),
    Rank = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
)

nba_stats <- data.frame(
    stringsAsFactors = FALSE,
    Players = c("Stephen Curry","Chris Paul","Russell Westbrook",
                "John Wall","James Harden","LeBron James",
                "Kevin Durant","Blake Griffin","Kyle Lowry",
                "Paul George"),
    some_stat = rnorm(10)
)

# Relevant code
nba_stats %>% 
    left_join(nba_salary, by = "Players")
#>              Players   some_stat   Salary Rank
#> 1      Stephen Curry  0.01482341 40231758    1
#> 2         Chris Paul -0.18417913 38506482    2
#> 3  Russell Westbrook -0.42616613 38178000    3
#> 4          John Wall -0.63422415 37800000    4
#> 5       James Harden  1.34669284 37800000    5
#> 6       LeBron James -0.65364381 37436858    6
#> 7       Kevin Durant -0.69911135 37199000    7
#> 8      Blake Griffin  0.75686720 34234964    8
#> 9         Kyle Lowry -1.34995016 33296296    9
#> 10       Paul George  0.59446418 33005556   10

Created on 2020-11-01 by the reprex package (v0.3.0.9001)

Ok I was able to get majority of the salaries joined to my stats data frame using the code you displayed. There were a few that the salary came through as an "NA" still but that's not a problem for my project. Still not entirely sure how to recreate my example in a reusable format to put on here. But will go back through the steps and try it again

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Unfortunately, I am not catching how to do the last steps in the video. I'm assuming that what I have put down below will not work:

Blocks_Per_Game Turnovers_Per_Game Offensive_Rating Defensive_Rating Salary
1 1.06 1.51 122.0 101.9 NA
2 1.29 2.82 116.2 102.2 NA
3 1.64 1.40 114.7 109.1 NA
4 1.31 1.10 131.3 101.0 NA
5 1.05 3.65 116.1 90.2 NA
6 0.47 1.72 103.2 109.0 NA

head(nba_salaries2, 10)[,c("Players", "Salary", "Rank")]
#> Error in head(nba_salaries2, 10): object 'nba_salaries2' not found
datapasta::df_paste(head(nba_salaries2, 10)[,c("Players", "Salary", "Rank")])
#> Error in head(nba_salaries2, 10): object 'nba_salaries2' not found
nba_reg <- data.frame(
  stringsAsFactors = FALSE,
                      Players = c("Stephen Curry","Chris Paul","Russell Westbrook",
                                  "John Wall","James Harden","LeBron James",
                                  "Kevin Durant","Blake Griffin","Kyle Lowry",
                                  "Paul George"),
                       Salary = c(40231758,
                                  38506482,38178000,37800000,37800000,
                                  37436858,37199000,34234964,33296296,33005556),
              Rank = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
           )

library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
nba_stats4 <- dplyr::left_join(nba_stats3, nba_salaries2)
#> Error in dplyr::left_join(nba_stats3, nba_salaries2): object 'nba_stats3' not found

Created on 2020-10-31 by the reprex package (v0.3.0)

I think it would be better if you could prepare a reproducible example (reprex) illustrating your issue. Please have a look at this guide, to see how to create one:

Did it work?? I'm feeling pretty good about learning something new here

In order to make your example reproducible, you have to provide sample data for nba_stats3 and nba_salaries2