{"comment":{"url":"https://api.github.com/repos/iuDataSciencePythonI590/final-project_the-python-pack/comments/31112626","html_url":"https://github.com/iuDataSciencePythonI590/final-project_the-python-pack/commit/469fc9c00f623029a18e56e291d551780c66e0a3#commitcomment-31112626","id":31112626,"node_id":"MDEzOkNvbW1pdENvbW1lbnQzMTExMjYyNg==","user":{"login":"mindyjbaker","id":44596013,"node_id":"MDQ6VXNlcjQ0NTk2MDEz","avatar_url":"https://avatars0.githubusercontent.com/u/44596013?v=4","gravatar_id":"","url":"https://api.github.com/users/mindyjbaker","html_url":"https://github.com/mindyjbaker","followers_url":"https://api.github.com/users/mindyjbaker/followers","following_url":"https://api.github.com/users/mindyjbaker/following{/other_user}","gists_url":"https://api.github.com/users/mindyjbaker/gists{/gist_id}","starred_url":"https://api.github.com/users/mindyjbaker/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mindyjbaker/subscriptions","organizations_url":"https://api.github.com/users/mindyjbaker/orgs","repos_url":"https://api.github.com/users/mindyjbaker/repos","events_url":"https://api.github.com/users/mindyjbaker/events{/privacy}","received_events_url":"https://api.github.com/users/mindyjbaker/received_events","type":"User","site_admin":false},"position":null,"line":null,"path":null,"commit_id":"469fc9c00f623029a18e56e291d551780c66e0a3","created_at":"2018-10-31T02:01:02Z","updated_at":"2018-10-31T02:01:02Z","author_association":"CONTRIBUTOR","body":"During the first week, you need to complete following data analysis tasks.\r\n•Get yourself comfortable with k-means algorithm\r\n•Download the data and load it in Python\r\n•Add Headers (Scn A2 A3 A4 A5 A6 A7 A8 A9 A10 CLASS)\r\n•Impute missing values\r\n•Plot basic graphs\r\n•Compute data statistics"}}
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