You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_community
【Schema】
# Table: votes
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PostId:INTEGER, Examples: [3, 2, 5]),
(VoteTypeId:INTEGER, Examples: [2, 5, 3]),
(CreationDate:DATE, Examples: [2010-07-19]),
(UserId:INTEGER, Examples: [58, 6, 66]),
(BountyAmount:INTEGER, Examples: [50, 25, 0])
]
# Table: tags
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(TagName:TEXT, Examples: [bayesian, prior, elicitation]),
(Count:INTEGER, Examples: [1342, 168, 6]),
(ExcerptPostId:INTEGER, Examples: [20258, 62158, 67815]),
(WikiPostId:INTEGER, Examples: [20257, 62157, 67814])
]
# Table: posts
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PostTypeId:INTEGER, Examples: [1, 2, 7]),
(AcceptedAnswerId:INTEGER, Examples: [15, 59, 5]),
(CreaionDate:DATETIME, Examples: [2010-07-19 19:12:12]),
(Score:INTEGER, Examples: [23, 22, 54]),
(ViewCount:INTEGER, Examples: [1278, 8198, 3613]),
(Body:TEXT),
(OwnerUserId:INTEGER, Examples: [8, 24, 18]),
(LasActivityDate:DATETIME, Examples: [2010-09-15 21:08:26]),
(Title:TEXT),
(Tags:TEXT, Examples: [<bayesian><prior><elicitation>]),
(AnswerCount:INTEGER, Examples: [5, 7, 19]),
(CommentCount:INTEGER, Examples: [1, 4, 2]),
(FavoriteCount:INTEGER, Examples: [14, 8, 36]),
(LastEditorUserId:INTEGER, Examples: [88, 183, 23]),
(LastEditDate:DATETIME, Examples: [2010-08-07 17:56:44]),
(CommunityOwnedDate:DATETIME, Examples: [2010-07-19 19:13:28]),
(ParentId:INTEGER, Examples: [3, 7, 6]),
(ClosedDate:DATETIME, Examples: [2010-07-19 20:19:46]),
(OwnerDisplayName:TEXT, Examples: [user28, user209, Michael Bishop]),
(LastEditorDisplayName:TEXT, Examples: [user28, user10525, sjcockell])
]
# Table: users
[
(Id:INTEGER, Primary Key, Examples: [-1, 2, 3]),
(Reputation:INTEGER, Examples: [1, 101, 6792]),
(CreationDate:DATETIME, Examples: [2010-07-19 06:55:26]),
(DisplayName:TEXT, Examples: [Community, Geoff Dalgas, Jarrod Dixon]),
(LastAccessDate:DATETIME, Examples: [2010-07-19 06:55:26]),
(WebsiteUrl:TEXT),
(Location:TEXT, Examples: [on the server farm, Corvallis, OR, New York, NY]),
(AboutMe:TEXT),
(Views:INTEGER, Examples: [0, 25, 22]),
(UpVotes:INTEGER, Examples: [5007, 3, 19]),
(DownVotes:INTEGER, Examples: [1920, 0, 5]),
(AccountId:INTEGER, Examples: [-1, 2, 3]),
(Age:INTEGER, Examples: [37, 35, 28]),
(ProfileImageUrl:TEXT)
]
# Table: postHistory
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PostHistoryTypeId:INTEGER, Examples: [2, 1, 3]),
(PostId:INTEGER, Examples: [1, 2, 3]),
(RevisionGUID:TEXT, Examples: [e58bf7fd-e60f-4c58-a6e4-dfc91cf98a69]),
(CreationDate:DATETIME, Examples: [2010-07-19 19:12:12]),
(UserId:INTEGER, Examples: [8, 24, 18]),
(Text:TEXT),
(Comment:TEXT),
(UserDisplayName:TEXT, Examples: [user28, user209, Michael Bishop])
]
# Table: comments
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PostId:INTEGER, Examples: [3, 5, 9]),
(Score:INTEGER, Examples: [5, 0, 11]),
(Text:TEXT),
(CreationDate:DATETIME, Examples: [2010-07-19 19:15:52]),
(UserId:INTEGER, Examples: [13, 37, 5]),
(UserDisplayName:TEXT, Examples: [user28, Statprof, jjgibaja])
]
# Table: postLinks
[
(Id:INTEGER, Primary Key, Examples: [108, 145, 217]),
(CreationDate:DATETIME, Examples: [2010-07-21 14:47:33]),
(PostId:INTEGER, Examples: [395, 548, 375]),
(RelatedPostId:INTEGER, Examples: [173, 539, 30]),
(LinkTypeId:INTEGER, Examples: [1, 3])
]
# Table: badges
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(UserId:INTEGER, Examples: [5, 6, 8]),
(Name:TEXT, Examples: [Teacher, Student, Editor]),
(Date:DATETIME, Examples: [2010-07-19 19:39:07])
]
【Foreign keys】
votes.PostId=posts.Id
votes.UserId=users.Id
tags.ExcerptPostId=posts.Id
posts.LastEditorUserId=users.Id
posts.OwnerUserId=users.Id
posts.ParentId=posts.Id
postHistory.PostId=posts.Id
postHistory.UserId=users.Id
comments.PostId=posts.Id
comments.UserId=users.Id
postLinks.PostId=posts.Id
postLinks.RelatedPostId=posts.Id
badges.UserId=users.Id

    【Question】
    How many comments and answers were left by the users on the post with the title 'Clustering 1D data'?

    【Evidence】
    

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT CommentCount, AnswerCount FROM posts WHERE Title = 'Clustering 1D data'