Data Understanding (edureka Tableau)

gistfile1.txt

Data Understanding (1-5)
1. Industry data belongs to: Ecommerce
2. Find count of observations and variables,(use glimpse): 51290 & 24
3. Know data types (use glimpse)
4. Levels: (use glimpse)
5. See if any negatives (because this is ecommerce data)
```{r}
glimpse(df99)
summary(df99)
```
Data Understanding 6. Null
```{r}
### make func 
count_missing = function(df){
  sapply(df, FUN=function(col) sum(is.na(col)))
}
### apply count_missing func to df
nacounts <- count_missing(df99)
hasNA = which(nacounts > 0)
nacounts[hasNA]
```