The dataset examined has the following dimensions:
| Feature | Result |
|---|---|
| Number of observations | 2798 |
| Number of variables | 7 |
The following variable checks were performed, depending on the data type of each variable:
| character | factor | labelled | haven labelled | numeric | integer | logical | Date | |
|---|---|---|---|---|---|---|---|---|
| Identify miscoded missing values | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | |
| Identify prefixed and suffixed whitespace | \(\times\) | \(\times\) | \(\times\) | \(\times\) | ||||
| Identify levels with < 6 obs. | \(\times\) | \(\times\) | \(\times\) | \(\times\) | ||||
| Identify case issues | \(\times\) | \(\times\) | \(\times\) | \(\times\) | ||||
| Identify misclassified numeric or integer variables | \(\times\) | \(\times\) | \(\times\) | \(\times\) | ||||
| Identify outliers | \(\times\) | \(\times\) | \(\times\) |
Please note that all numerical values in the following have been rounded to 2 decimals.
| Variable class | # unique values | Missing observations | Any problems? | |
|---|---|---|---|---|
| Owner | character | 158 | 0.00 % | \(\times\) |
| Team | character | 115 | 0.00 % | \(\times\) |
| League | character | 16 | 0.00 % | \(\times\) |
| Recipient | character | 1274 | 0.00 % | \(\times\) |
| Amount | numeric | 244 | 0.00 % | \(\times\) |
| Election.Year | integer | 3 | 0.00 % | |
| Party | factor | 7 | 0.00 % | \(\times\) |
| Feature | Result |
|---|---|
| Variable type | character |
| Number of missing obs. | 0 (0 %) |
| Number of unique values | 158 |
| Mode | “Charles Johnson” |
| Feature | Result |
|---|---|
| Variable type | character |
| Number of missing obs. | 0 (0 %) |
| Number of unique values | 115 |
| Mode | “San Francisco Giants” |
| Feature | Result |
|---|---|
| Variable type | character |
| Number of missing obs. | 0 (0 %) |
| Number of unique values | 16 |
| Mode | “MLB” |
| Feature | Result |
|---|---|
| Variable type | character |
| Number of missing obs. | 0 (0 %) |
| Number of unique values | 1274 |
| Mode | “Gridiron-PAC” |
Note that the following levels have at most five observations: "150PAC.ORG", "1820 PAC", "2018 REPUBLICAN CHALLENGERS FUND", "21ST CENTURY LEADERS", "21ST CENTURY MAJORITY FUND", …, "Young Kim for Congress", "YOUNG KIM FOR CONGRESS", "YOUNG VICTORY COMMITTEE", "ZELDIN FOR CONGRESS", "ZINKE FOR CONGRESS" (1188 values omitted).
Note that there might be case problems with the following levels: "Adam Smith for Congress Committee", "ADAM SMITH FOR CONGRESS COMMITTEE", "Alaskans for Dan Sullivan", "Alaskans For Dan Sullivan", "ALASKANS FOR DAN SULLIVAN", …, "Wyden for Senate", "Wyden For Senate", "WYDEN FOR SENATE", "Young Kim for Congress", "YOUNG KIM FOR CONGRESS" (343 values omitted).
| Feature | Result |
|---|---|
| Variable type | numeric |
| Number of missing obs. | 0 (0 %) |
| Number of unique values | 244 |
| Median | 5000 |
| 1st and 3rd quartiles | 2700; 5600 |
| Min. and max. | 36; 1850000 |
| Feature | Result |
|---|---|
| Variable type | integer |
| Number of missing obs. | 0 (0 %) |
| Number of unique values | 3 |
| Mode | “2018” |
| Reference category | 2016 |
| Feature | Result |
|---|---|
| Variable type | factor |
| Number of missing obs. | 0 (0 %) |
| Number of unique values | 7 |
| Mode | “Republican” |
| Reference category | Bipartisan |
Report generation information:
Created by: Favour Ugorji.
Report creation time: Mon Mar 21 2022 07:44:18
dataReporter v1.0.2 [Pkg: 2021-11-11 from CRAN (R 4.1.3)]
R version 4.1.0 (2021-05-18).
Platform: x86_64-w64-mingw32/x64 (64-bit)(Windows 10 x64 (build 19042)).
Function call: makeDataReport(data = SPD)