diff --git a/your-code/main.ipynb b/your-code/main.ipynb index bad6d94..2d6e501 100644 --- a/your-code/main.ipynb +++ b/your-code/main.ipynb @@ -9,10 +9,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "import pandas as pd" + ] }, { "cell_type": "markdown", @@ -23,10 +25,317 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/html": [ + "
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userIdReputationCreationDateDisplayNameLastAccessDateWebsiteUrlLocationAboutMeViewsUpVotesDownVotesAccountIdAgeProfileImageUrl
0-112010-07-19 06:55:26Community2010-07-19 06:55:26http://meta.stackexchange.com/on the server farm<p>Hi, I'm not really a person.</p>\\r\\n\\r\\n<p>...050071920-1NaNNaN
121012010-07-19 14:01:36Geoff Dalgas2013-11-12 22:07:23http://stackoverflow.comCorvallis, OR<p>Developer on the StackOverflow team. Find ...2530237.0NaN
231012010-07-19 15:34:50Jarrod Dixon2014-08-08 06:42:58http://stackoverflow.comNew York, NY<p><a href=\"http://blog.stackoverflow.com/2009...22190335.0NaN
341012010-07-19 19:03:27Emmett2014-01-02 09:31:02http://minesweeperonline.comSan Francisco, CA<p>currently at a startup in SF</p>\\r\\n\\r\\n<p>...1100199828.0http://i.stack.imgur.com/d1oHX.jpg
4567922010-07-19 19:03:57Shane2014-08-13 00:23:47http://www.statalgo.comNew York, NY<p>Quantitative researcher focusing on statist...114566255450335.0NaN
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403205574312014-09-13 21:03:50AussieMeg2014-09-13 21:18:52NaNNaNNaN0005026902NaNhttp://graph.facebook.com/665821703/picture?ty...
403215574462014-09-13 21:39:30Mia Maria2014-09-13 21:39:30NaNNaNNaN1005026998NaNNaN
40322557451012014-09-13 23:45:27tronbabylove2014-09-13 23:45:27NaNUnited StatesNaN000481766NaNhttps://www.gravatar.com/avatar/faa7a3fdbd8308...
40323557461062014-09-14 00:29:41GPP2014-09-14 02:05:17NaNNaN<p>Stats noobie, product, marketing &amp; medi...100976289NaNhttps://www.gravatar.com/avatar/6d9e9fa6b783a3...
403245574712014-09-14 01:01:44Shivam Agrawal2014-09-14 01:19:04NaNIndia<p>Maths Enthusiast </p>\\r\\n0005027354NaNhttps://lh4.googleusercontent.com/-ZsXhwVaFmiY...
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Developer on the StackOverflow team. Find ... \n", + "2 New York, NY

currently at a startup in SF

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IdPostTypeIdAcceptedAnswerIdCreaionDateScoreViewCountBodyOwnerUserIdLasActivityDateTitle...AnswerCountCommentCountFavoriteCountLastEditorUserIdLastEditDateCommunityOwnedDateParentIdClosedDateOwnerDisplayNameLastEditorDisplayName
01115.02010-07-19 19:12:12231278.0<p>How should I elicit prior distributions fro...8.02010-09-15 21:08:26Eliciting priors from experts...5.0114.0NaNNaNNaNNaNNaNNaNNaN
12159.02010-07-19 19:12:57228198.0<p>In many different statistical methods there...24.02012-11-12 09:21:54What is normality?...7.018.088.02010-08-07 17:56:44NaNNaNNaNNaNNaN
2315.02010-07-19 19:13:28543613.0<p>What are some valuable Statistical Analysis...18.02013-05-27 14:48:36What are some valuable Statistical Analysis op......19.0436.0183.02011-02-12 05:50:032010-07-19 19:13:28NaNNaNNaNNaN
341135.02010-07-19 19:13:31135224.0<p>I have two groups of data. Each with a dif...23.02010-09-08 03:00:19Assessing the significance of differences in d......5.022.0NaNNaNNaNNaNNaNNaNNaN
452NaN2010-07-19 19:14:4381NaN<p>The R-project</p>\\n\\n<p><a href=\"http://www...23.02010-07-19 19:21:15NaN...NaN3NaN23.02010-07-19 19:21:152010-07-19 19:14:433.0NaNNaNNaN
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39995483212NaN2013-01-23 09:00:010NaN<p>you can use the matlab codes for svm and co...19966.02013-01-23 09:00:01NaN...NaN0NaNNaNNaNNaN45118.0NaNNaNNaN
39996483222NaN2013-01-23 09:09:343NaN<p>I use <a href=\"http://www.gnu.org/software/...892.02013-01-23 13:13:30NaN...NaN2NaN892.02013-01-23 13:13:30NaN48311.0NaNNaNNaN
39997483232NaN2013-01-23 09:16:441NaN<p>If I understand your question correctly, yo...2020.02013-01-23 09:16:44NaN...NaN0NaNNaNNaNNaN48247.0NaNNaNNaN
39998483242NaN2013-01-23 09:36:073NaN<p>Doesn't really help you with your question,...19914.02013-01-23 09:36:07NaN...NaN0NaNNaNNaNNaN48297.0NaNNaNNaN
39999483251NaN2013-01-23 09:44:07-1116.0<p>I have 10 vectors each having 100,000 point...19968.02013-02-22 11:23:54are data sets obtained from a Normal distribut......2.04NaNNaNNaNNaNNaNNaNNaNNaN
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40000 rows × 21 columns

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" + ], + "text/plain": [ + " Id PostTypeId AcceptedAnswerId CreaionDate Score \\\n", + "0 1 1 15.0 2010-07-19 19:12:12 23 \n", + "1 2 1 59.0 2010-07-19 19:12:57 22 \n", + "2 3 1 5.0 2010-07-19 19:13:28 54 \n", + "3 4 1 135.0 2010-07-19 19:13:31 13 \n", + "4 5 2 NaN 2010-07-19 19:14:43 81 \n", + "... ... ... ... ... ... \n", + "39995 48321 2 NaN 2013-01-23 09:00:01 0 \n", + "39996 48322 2 NaN 2013-01-23 09:09:34 3 \n", + "39997 48323 2 NaN 2013-01-23 09:16:44 1 \n", + "39998 48324 2 NaN 2013-01-23 09:36:07 3 \n", + "39999 48325 1 NaN 2013-01-23 09:44:07 -1 \n", + "\n", + " ViewCount Body \\\n", + "0 1278.0

How should I elicit prior distributions fro... \n", + "1 8198.0

In many different statistical methods there... \n", + "2 3613.0

What are some valuable Statistical Analysis... \n", + "3 5224.0

I have two groups of data. Each with a dif... \n", + "4 NaN

The R-project

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you can use the matlab codes for svm and co... \n", + "39996 NaN

I use If I understand your question correctly, yo... \n", + "39998 NaN

Doesn't really help you with your question,... \n", + "39999 116.0

I have 10 vectors each having 100,000 point... \n", + "\n", + " OwnerUserId LasActivityDate \\\n", + "0 8.0 2010-09-15 21:08:26 \n", + "1 24.0 2012-11-12 09:21:54 \n", + "2 18.0 2013-05-27 14:48:36 \n", + "3 23.0 2010-09-08 03:00:19 \n", + "4 23.0 2010-07-19 19:21:15 \n", + "... ... ... \n", + "39995 19966.0 2013-01-23 09:00:01 \n", + "39996 892.0 2013-01-23 13:13:30 \n", + "39997 2020.0 2013-01-23 09:16:44 \n", + "39998 19914.0 2013-01-23 09:36:07 \n", + "39999 19968.0 2013-02-22 11:23:54 \n", + "\n", + " Title ... AnswerCount \\\n", + "0 Eliciting priors from experts ... 5.0 \n", + "1 What is normality? ... 7.0 \n", + "2 What are some valuable Statistical Analysis op... ... 19.0 \n", + "3 Assessing the significance of differences in d... ... 5.0 \n", + "4 NaN ... NaN \n", + "... ... ... ... \n", + "39995 NaN ... NaN \n", + "39996 NaN ... NaN \n", + "39997 NaN ... NaN \n", + "39998 NaN ... NaN \n", + "39999 are data sets obtained from a Normal distribut... ... 2.0 \n", + "\n", + " CommentCount FavoriteCount LastEditorUserId LastEditDate \\\n", + "0 1 14.0 NaN NaN \n", + "1 1 8.0 88.0 2010-08-07 17:56:44 \n", + "2 4 36.0 183.0 2011-02-12 05:50:03 \n", + "3 2 2.0 NaN NaN \n", + "4 3 NaN 23.0 2010-07-19 19:21:15 \n", + "... ... ... ... ... \n", + "39995 0 NaN NaN NaN \n", + "39996 2 NaN 892.0 2013-01-23 13:13:30 \n", + "39997 0 NaN NaN NaN \n", + "39998 0 NaN NaN NaN \n", + "39999 4 NaN NaN NaN \n", + "\n", + " CommunityOwnedDate ParentId ClosedDate OwnerDisplayName \\\n", + "0 NaN NaN NaN NaN \n", + "1 NaN NaN NaN NaN \n", + "2 2010-07-19 19:13:28 NaN NaN NaN \n", + "3 NaN NaN NaN NaN \n", + "4 2010-07-19 19:14:43 3.0 NaN NaN \n", + "... ... ... ... ... \n", + "39995 NaN 45118.0 NaN NaN \n", + "39996 NaN 48311.0 NaN NaN \n", + "39997 NaN 48247.0 NaN NaN \n", + "39998 NaN 48297.0 NaN NaN \n", + "39999 NaN NaN NaN NaN \n", + "\n", + " LastEditorDisplayName \n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "39995 NaN \n", + "39996 NaN \n", + "39997 NaN \n", + "39998 NaN \n", + "39999 NaN \n", + "\n", + "[40000 rows x 21 columns]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "posts_table = pd.read_csv(\"posts_table.csv\")\n", + "posts_table" + ] }, { "cell_type": "markdown", @@ -65,10 +1098,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "posts_table = posts_table.rename(columns={'Id': 'postId', 'OwnerUserId': 'userId'})" + ] }, { "cell_type": "markdown", @@ -81,10 +1116,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "users = df.loc[:, ['userId', 'Reputation', 'Views', 'UpVotes', 'DownVotes']]\n", + "\n", + "posts = posts_table.loc[:, ['postId', 'Score', 'userId', 'ViewCount', 'CommentCount']]" + ] }, { "cell_type": "markdown", @@ -96,10 +1135,131 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/html": [ + "

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" + ], + "text/plain": [ + " postId Score userId ViewCount CommentCount Reputation Views \\\n", + "0 1 23 8.0 1278.0 1 6764.0 1089.0 \n", + "1 2 22 24.0 8198.0 1 344.0 48.0 \n", + "2 3 54 18.0 3613.0 4 128.0 8.0 \n", + "3 4 13 23.0 5224.0 2 308.0 52.0 \n", + "4 5 81 23.0 NaN 3 308.0 52.0 \n", + "\n", + " UpVotes DownVotes \n", + "0 604.0 25.0 \n", + "1 36.0 1.0 \n", + "2 16.0 0.0 \n", + "3 34.0 1.0 \n", + "4 34.0 1.0 " + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "merged_df = pd.merge(left=posts, right=users, left_on='userId', right_on='userId', how='left')\n", + "merged_df.head()" + ] }, { "cell_type": "markdown", @@ -110,10 +1270,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "postId 0\n", + "Score 0\n", + "userId 1038\n", + "ViewCount 24105\n", + "CommentCount 0\n", + "Reputation 1038\n", + "Views 1038\n", + "UpVotes 1038\n", + "DownVotes 1038\n", + "dtype: int64" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "merged_df.isnull().sum()\n" + ] }, { "cell_type": "markdown", @@ -125,10 +1307,16 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "#Will drop user ID as it seems to be connected with other missing values\n", + "merged_df.dropna(subset=['userId'], inplace=True)\n", + "\n", + "#Will fill in any missing view count with 0, as they are valid users with no views\n", + "merged_df.fillna(value={'ViewCount': 0}, inplace=True)" + ] }, { "cell_type": "markdown", @@ -137,6 +1325,62 @@ "#### 10. Adjust the data types in order to avoid future issues. Which ones should be changed? " ] }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "postId int64\n", + "Score int64\n", + "userId float64\n", + "ViewCount float64\n", + "CommentCount int64\n", + "Reputation float64\n", + "Views float64\n", + "UpVotes float64\n", + "DownVotes float64\n", + "dtype: object" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "merged_df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "postId int64\n", + "Score int64\n", + "userId int32\n", + "ViewCount int32\n", + "CommentCount int64\n", + "Reputation int32\n", + "Views int32\n", + "UpVotes int32\n", + "DownVotes int32\n", + "dtype: object\n" + ] + } + ], + "source": [ + "merged_df = merged_df.astype({'ViewCount': int, 'Views': int, 'userId': int, 'UpVotes': int, 'DownVotes': int, 'Reputation': int})\n", + "print(merged_df.dtypes)" + ] + }, { "cell_type": "code", "execution_count": null, @@ -161,7 +1405,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.10.7" } }, "nbformat": 4,