As mentioned earlier, we can create DataFrame using external data source APIs as well. For the following example, we used com.databricks.spark.csv API as follows:

flightDF<- read.df(dataPath,  
header='true',  
source = "com.databricks.spark.csv",  
inferSchema='true') 

Let's see the structure by exploring the schema of the DataFrame:

printSchema(flightDF)

The output is as follows:

Now let's see the first 10 rows of the DataFrame:

showDF(flightDF, numRows = 10)

The output is as follows:

So, you can see the same structure. Well done! Now it's time to explore something more, such as data manipulation using SparkR.