The dataset examined has the following dimensions:
| Feature | Result |
|---|---|
| Number of observations | 31 |
| Number of variables | 3 |
The following variable checks were performed, depending on the data type of each variable:
| Β | character | factor | labelled | haven labelled | numeric | integer | logical | Date |
|---|---|---|---|---|---|---|---|---|
| Identify miscoded missing values | Γ— | Γ— | Γ— | Γ— | Γ— | Γ— | Γ— | |
| Identify prefixed and suffixed whitespace | Γ— | Γ— | Γ— | Γ— | ||||
| Identify levels with < 6 obs. | Γ— | Γ— | Γ— | Γ— | ||||
| Identify case issues | Γ— | Γ— | Γ— | Γ— | ||||
| Identify misclassified numeric or integer variables | Γ— | Γ— | Γ— | Γ— | ||||
| Identify outliers | Γ— | Γ— | Γ— |
Please note that all numerical values in the following have been rounded to 2 decimals.
| Β | Variable class | # unique values | Missing observations | Any problems? |
|---|---|---|---|---|
| Girth | numeric | 27 | 0.00 % | |
| Height | numeric | 21 | 0.00 % | |
| Volume | numeric | 30 | 0.00 % | Γ— |
| Feature | Result |
|---|---|
| Variable type | numeric |
| Number of missing obs. | 0 (0 %) |
| Number of unique values | 27 |
| Median | 12.9 |
| 1st and 3rd quartiles | 11.05; 15.25 |
| Min. and max. | 8.3; 20.6 |
| Feature | Result |
|---|---|
| Variable type | numeric |
| Number of missing obs. | 0 (0 %) |
| Number of unique values | 21 |
| Median | 76 |
| 1st and 3rd quartiles | 72; 80 |
| Min. and max. | 63; 87 |
| Feature | Result |
|---|---|
| Variable type | numeric |
| Number of missing obs. | 0 (0 %) |
| Number of unique values | 30 |
| Median | 24.2 |
| 1st and 3rd quartiles | 19.4; 37.3 |
| Min. and max. | 10.2; 77 |
Report generation information:
Created by vija Lin (username: vija).
Report creation time: δΊ” 2 22 2019 13:38:11
Report was run from directory: /Users/vija/Downloads/work/tutoring/dataMaid/html-type-mac
dataMaid v1.2.0 [Pkg: 2018-10-03 from CRAN (R 3.5.0)]
R version 3.5.1 (2018-07-02).
Platform: x86_64-apple-darwin15.6.0 (64-bit)(macOS 10.14.1).
Function call: makeDataReport(data = trees, output = "html")