SQL Server How to Utilize Pivot in this difficult situation - sql-server

Question

I've been reading a lot of posts on here trying to figure out how to use this pivot function and have not had any luck. Either some of the explanations included something unnecessary to me or made it too difficult for to understand because I only recently started teaching myself SQL.
I need to figure out how to Group my dates into one if possible and turn P1, P2, P3... into columns. Making P1-10 into their each individual column is what is most important.
This is what the original SQL Server looks like.. + many other columns that are irrelevant for what I'm trying to do.
+-------------+------------+---------------------+
| StationName | Start_Time | Time |
+-------------+------------+---------------------+
| P1 | 15 | 2018-06-21 13:37:34 |
+-------------+------------+---------------------+
| P3 | 69 | 2018-06-21 12:33:55 |
+-------------+------------+---------------------+
| P4 | 52 | 2018-06-21 13:42:34 |
+-------------+------------+---------------------+
| P1 | 18 | 2018-06-21 10:37:34 |
+-------------+------------+---------------------+
| P9 | 78 | 2018-06-21 6:37:34 |
+-------------+------------+---------------------+
This is what I currently have
SELECT Cast(Start_Time AS DATE) AS Date,
StationName,
sum(time) AS "Daily Downtime"
FROM A6K_Events
Where StationName Like 'P%'
GROUP BY Cast(Start_Time AS DATE), StationName
Order By Date DESC
+------------+-------------+----------------+
| Date | StationName | Daily Downtime |
+------------+-------------+----------------+
| 2018-06-21 | P1 | 33 |
+------------+-------------+----------------+
| 2018-06-21 | P3 | 62 |
+------------+-------------+----------------+
| 2018-06-21 | P8 | 1 |
+------------+-------------+----------------+
| 2018-06-21 | P9 | 78 |
+------------+-------------+----------------+
| 2018-06-20 | P1 | 69 |
+------------+-------------+----------------+
| 2018-06-19 | P1 | 52 |
+------------+-------------+----------------+
This is what I would like to have:
+------------+----+----+----+----+----+----+----+----+----+-----+
| Date | P1 | P2 | P3 | P4 | P5 | P6 | P7 | P8 | P9 | P10 |
+------------+----+----+----+----+----+----+----+----+----+-----+
| 2018-06-21 | 33 | | 62 | | | | | 1 | 78 | |
+------------+----+----+----+----+----+----+----+----+----+-----+
| 2018-06-20 | 69 | | | | | | | | | |
+------------+----+----+----+----+----+----+----+----+----+-----+
| 2018-06-19 | 52 | | | | | | | | | |
+------------+----+----+----+----+----+----+----+----+----+-----+
The Numbers filled in would be the Daily Downtime value for that process that day. The end result will be recorded live and contain many dates and various down times.
Thanks for the Help in advance
Edited to add text tables and removed images

Answer 1

You can accomplish the output with the following pivot statement.
SELECT * FROM(
SELECT CAST([Start_Date] AS DATE) as [DATE],SUM(TIME) AS [Daily DownTime],STATIONNAME FROM A6K_Events Where StationName Like 'P%' GROUP BY [start_date],STATIONNAME
) AS S
PIVOT(sum([Daily DownTime]) FOR STATIONNAME IN([P1],[P2],[P3],[P4],[P5],[P6],[P7],[P8],[P9],[P10])) AS PT
http://rextester.com/BAXY34111