I have a table 

```
DEST_COUNTRY_NAME   ORIGIN_COUNTRY_NAME count
United States   Romania 15
United States   Croatia 1
United States   Ireland 344

```

I converted the above into a `DataFrame`

```
val flightData2015 = spark
.read
.option("inferSchema", "true")//infers the input schema automatically from data
.option("header", "true")//uses the first line as names of columns.
.csv("/data/flight-data/csv/2015-summary.csv");

```

I can get only one column from the `DataFrame` using the `col` function

```
scala> data.col("count");
res70: org.apache.spark.sql.Column = count

```

But I notice that no actions are listed for Column. Are there any actions I can do on a `Column`, eg `max`, `show` etc.

I tried to run `max` function on the `count` column but I still don't see any result.

```
scala> max(dataDS.col("count"));
res78: org.apache.spark.sql.Column = max(count)

```

How do I perform an action on a `Column`?