(Data summary output is shown below:)
## tibble [5,289 × 4] (S3: tbl_df/tbl/data.frame)
## $ Calf_ID : num [1:5289] 31570 31754 32338 27926 31395 ...
## $ Pen : num [1:5289] 2 8 8 4 4 2 4 1 4 4 ...
## $ Milk_Consumption_Liters: num [1:5289] 2 1.4 0.1 13.9 1.7 3.1 5.6 13.9 8 8.5 ...
## $ Days_consuming_milk : num [1:5289] 1 1 1 2 2 2 3 3 3 3 ...
## tibble [4,890 × 4] (S3: tbl_df/tbl/data.frame)
## $ Calf_ID : num [1:4890] 18714 18715 18716 18718 18719 ...
## $ Birthdate : chr [1:4890] "44863" "44864" "44869" "44873" ...
## $ BW_date : chr [1:4890] "44863" "44864" "44869" "44873" ...
## $ Birth_Weight: num [1:4890] 87 84 86 81 283 322 463 92 90 223 ...
## tibble [4,895 × 4] (S3: tbl_df/tbl/data.frame)
## $ Calf_ID : num [1:4895] 18714 18715 18718 18719 18720 ...
## $ Birthdate : chr [1:4895] "44863" "44864" "44873" "44877" ...
## $ Days_of_age : num [1:4895] 6 5 12 8 7 28 28 13 12 8 ...
## $ Serum_Total_Protein: num [1:4895] 6.4 5 6 6 6 6 6.4 6.2 6.4 6 ...
1. Explain your choice of graph type for exploring outliers:
2. Do you consider any of the data points outliers?
3. How did you come to that conclusion?
4. What would you do next if there were outliers?
(Filtered data preview is shown below:)
| Calf_ID | Pen | Milk_Consumption_Liters | Days_consuming_milk |
|---|---|---|---|
| 33000 | 6 | 584.0 | 51 |
| 29993 | 7 | 546.7 | 52 |
| 30423 | 1 | 427.4 | 52 |
| 30674 | 3 | 436.9 | 52 |
| 32746 | 2 | 330.8 | 52 |
| 32995 | 6 | 581.7 | 52 |
| Calf_ID | Birthdate | BW_date | Birth_Weight |
|---|---|---|---|
| 18714 | 44863 | 44863 | 87 |
| 18715 | 44864 | 44864 | 84 |
| 18716 | 44869 | 44869 | 86 |
| 18718 | 44873 | 44873 | 81 |
| 18752 | 44940 | 44940 | 92 |
| 18753 | 44946 | 44946 | 90 |
| Calf_ID | Birthdate | Days_of_age | Serum_Total_Protein |
|---|---|---|---|
| 18714 | 44863 | 6 | 6.4 |
| 18715 | 44864 | 5 | 5.0 |
| 18719 | 44877 | 8 | 6.0 |
| 18720 | 44878 | 7 | 6.0 |
| 18727 | 44911 | 8 | 6.0 |
| 18728 | 44913 | 6 | 6.2 |
Describe the graph and explain the relationship:
Describe the graph and explain the relationship: