Task Overview: You are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question. Database Engine: SQLite Database Schema: CREATE TABLE badges ( Id integer, -- example: [1, 2] UserId integer, -- example: [5, 6] Name text, -- example: ['Teacher', 'Student'] `Date` datetime, -- example: ['2010-07-19 19:39:07.0', '2010-07-19 19:39:08.0'] PRIMARY KEY (Id), CONSTRAINT fk_badges_userid FOREIGN KEY (UserId) REFERENCES users (Id) ); CREATE TABLE comments ( Id integer, -- example: [1, 2] PostId integer, -- example: [3, 5] Score integer, -- example: [5, 0] Text text, -- example: ['Could be a poster child fo argumentative', "Yes, R is nice- but WHY is it 'valuable'"] CreationDate datetime, -- example: ['2010-07-19 19:15:52.0', '2010-07-19 19:16:14.0'] UserId integer, -- example: [13, 37] UserDisplayName text, -- example: ['user28', 'Statprof'] PRIMARY KEY (Id), CONSTRAINT fk_comments_postid FOREIGN KEY (PostId) REFERENCES posts (Id), CONSTRAINT fk_comments_userid FOREIGN KEY (UserId) REFERENCES users (Id) ); CREATE TABLE postHistory ( Id integer, -- example: [1, 2] PostHistoryTypeId integer, -- example: [2, 1] PostId integer, -- example: [1, 2] RevisionGUID text, -- example: ['e58bf7fd-e60f-4c58-a6e4-dfc91cf98a69', '18bf9150-f1cb-432d-b7b7-26d2f8e33581'] CreationDate datetime, -- example: ['2010-07-19 19:12:12.0', '2010-07-19 19:12:57.0'] UserId integer, -- example: [8, 24] Text text, -- example: ['How should I elicit prior distributions ', 'Eliciting priors from experts'] `Comment` text, -- example: ['more ', 'more', 'edited tags', 'add content from the comments;'] UserDisplayName text, -- example: ['User', 'user28', 'user209'] PRIMARY KEY (Id), CONSTRAINT fk_posthistory_postid FOREIGN KEY (PostId) REFERENCES posts (Id), CONSTRAINT fk_posthistory_userid FOREIGN KEY (UserId) REFERENCES users (Id) ); CREATE TABLE postLinks ( Id integer, -- example: [108, 145] CreationDate datetime, -- example: ['2010-07-21 14:47:33.0', '2010-07-23 16:30:41.0'] PostId integer, -- example: [395, 548] RelatedPostId integer, -- example: [173, 539] LinkTypeId integer, -- example: [1, 3] PRIMARY KEY (Id), CONSTRAINT fk_postlinks_postid FOREIGN KEY (PostId) REFERENCES posts (Id), CONSTRAINT fk_postlinks_relatedpostid FOREIGN KEY (RelatedPostId) REFERENCES posts (Id) ); CREATE TABLE posts ( Id integer, -- example: [1, 2] PostTypeId integer, -- example: [1, 2] AcceptedAnswerId integer, -- example: [15, 59] CreaionDate datetime, -- Creation Date, example: ['2010-07-19 19:12:12.0', '2010-07-19 19:12:57.0'] Score integer, -- example: [23, 22] ViewCount integer, -- example: [1278, 8198] Body text, -- example: ['

How should I elicit prior distributio', '

In many different statistical methods'] OwnerUserId integer, -- example: [8, 24] LasActivityDate datetime, -- Last Activity Date, example: ['2010-09-15 21:08:26.0', '2012-11-12 09:21:54.0'] Title text, -- example: ['Eliciting priors from experts', 'What is normality?'] Tags text, -- example: ['', ''] AnswerCount integer, -- example: [5, 7] CommentCount integer, -- example: [1, 4] FavoriteCount integer, -- example: [14, 8] LastEditorUserId integer, -- example: [88, 183] LastEditDate datetime, -- example: ['2010-08-07 17:56:44.0', '2011-02-12 05:50:03.0'] CommunityOwnedDate datetime, -- example: ['2010-07-19 19:13:28.0', '2010-07-19 19:14:43.0'] ParentId integer, -- example: [3, 7] ClosedDate datetime, -- example: ['2010-07-19 20:19:46.0', '2010-08-05 13:06:12.0'] OwnerDisplayName text, -- example: ['User', 'user28', 'user209'] LastEditorDisplayName text, -- example: ['user28', 'user10525'] PRIMARY KEY (Id), CONSTRAINT fk_posts_owneruserid FOREIGN KEY (OwnerUserId) REFERENCES users (Id), CONSTRAINT fk_posts_lasteditoruserid FOREIGN KEY (LastEditorUserId) REFERENCES users (Id), CONSTRAINT fk_posts_parentid FOREIGN KEY (ParentId) REFERENCES posts (Id) ); CREATE TABLE tags ( Id integer, -- example: [1, 2] TagName text, -- example: ['bayesian', 'prior'] `Count` integer, -- example: [1342, 168] ExcerptPostId integer, -- example: [20258, 62158] WikiPostId integer, -- example: [20257, 62157] PRIMARY KEY (Id), CONSTRAINT fk_tags_excerptpostid FOREIGN KEY (ExcerptPostId) REFERENCES posts (Id) ); CREATE TABLE users ( Id integer, -- example: [-1, 2] Reputation integer, -- example: [1, 101] CreationDate datetime, -- example: ['2010-07-19 06:55:26.0', '2010-07-19 14:01:36.0'] DisplayName text, -- example: ['User', 'useR', 'user', 'Community', 'Geoff Dalgas'] LastAccessDate datetime, -- example: ['2010-07-19 06:55:26.0', '2013-11-12 22:07:23.0'] WebsiteUrl text, -- example: ['http://meta.stackexchange.com/', 'http://stackoverflow.com'] Location text, -- example: ['on the server farm', 'Corvallis, OR'] AboutMe text, -- example: ["

Hi, I'm not really a person.

\n\n

", '

Developer on the StackOverflow team. '] Views integer, -- example: [0, 25] UpVotes integer, -- example: [5007, 3] DownVotes integer, -- example: [1920, 0] AccountId integer, -- example: [-1, 2] Age integer, -- example: [37, 35] ProfileImageUrl text, -- example: ['http://i.stack.imgur.com/d1oHX.jpg', 'http://i.stack.imgur.com/km1pr.jpg'] PRIMARY KEY (Id) ); CREATE TABLE votes ( Id integer, -- example: [1, 2] PostId integer, -- example: [3, 2] VoteTypeId integer, -- example: [2, 5] CreationDate date, -- example: ['2010-07-19', '2010-07-20'] UserId integer, -- example: [58, 6] BountyAmount integer, -- example: [50, 25] PRIMARY KEY (Id), CONSTRAINT fk_votes_postid FOREIGN KEY (PostId) REFERENCES posts (Id), CONSTRAINT fk_votes_userid FOREIGN KEY (UserId) REFERENCES users (Id) ); This schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints. Question: more than 10 views refers to Views > 10; created after the year 2013 refers to year (CreationDate) > 2013 How many users with more than 10 views created their account after the year 2013? Instructions: - Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more. - The generated query should return all of the information asked in the question without any missing or extra information. - Before generating the final SQL query, please think through the steps of how to write the query. Output Format: In your answer, please enclose the generated SQL query in a code block: ```sql -- Your SQL query ``` Take a deep breath and think step by step to find the correct SQL query.