Annotation_Data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dda90c33-5249-43aa-8ea7-91416f277ab7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a3c61842-5225-4aee-b084-1b0409ec75c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of all annotations: 107 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('hypothesis.csv')\n",
    "print('Number of all annotations:', len(df), '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "314d355b-cb37-4d14-b07b-202d3829a2ae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    level              created              updated  \\\n",
      "0       0  2023-07-27T12:07:05  2023-07-27T12:07:05   \n",
      "1       0  2023-07-27T12:06:32  2023-07-27T12:06:32   \n",
      "2       0  2023-07-27T12:05:21  2023-07-27T12:05:21   \n",
      "3       0  2023-07-27T11:57:46  2023-07-27T11:57:46   \n",
      "4       0  2023-07-27T11:55:45  2023-07-27T11:55:45   \n",
      "5       0  2023-07-27T11:54:53  2023-07-27T11:54:53   \n",
      "6       0  2023-07-27T11:54:33  2023-07-27T11:54:33   \n",
      "7       0  2023-07-27T11:52:52  2023-07-27T11:52:52   \n",
      "8       0  2023-07-27T11:48:40  2023-07-27T11:48:40   \n",
      "9       1  2023-07-27T12:08:43  2023-07-27T12:08:43   \n",
      "10      0  2023-07-27T11:48:07  2023-07-27T11:48:07   \n",
      "11      0  2023-07-27T11:47:05  2023-07-27T11:47:05   \n",
      "12      0  2023-07-27T11:45:14  2023-07-27T11:45:14   \n",
      "13      0  2023-07-27T11:44:35  2023-07-27T11:44:35   \n",
      "14      0  2023-07-25T21:43:24  2023-07-27T09:01:06   \n",
      "\n",
      "                                                  url          user  \\\n",
      "0   https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "1   https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "2   https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "3   https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "4   https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "5   https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "6   https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "7   https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "8   https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "9   https://networkcultures.org/reading-group/text...     hd_onions   \n",
      "10  https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "11  https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "12  https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "13  https://networkcultures.org/reading-group/text...  cyberfae1312   \n",
      "14  https://networkcultures.org/reading-group/text...      felixcat   \n",
      "\n",
      "                        id     group        tags  \\\n",
      "0   Glfknix2Ee6R6zNUj07v-w  ziX6PGLn   important   \n",
      "1   BnDqDCx2Ee6C6WubXb4maw  ziX6PGLn     trouble   \n",
      "2   3IVGUix1Ee68L__hqehyVA  ziX6PGLn   important   \n",
      "3   zW79lCx0Ee6Tz6O7Q1Bb0g  ziX6PGLn         NaN   \n",
      "4   hTP5-Cx0Ee6mYA_I9ecaxQ  ziX6PGLn         NaN   \n",
      "5   ZgSczCx0Ee6OKv8-OFZISA  ziX6PGLn  definition   \n",
      "6   WmS_yCx0Ee6dGPtorALDwQ  ziX6PGLn         NaN   \n",
      "7   HciOgix0Ee6XnIORcVJ6og  ziX6PGLn   important   \n",
      "8   h9XDIixzEe6lS1vcDjG0xw  ziX6PGLn   important   \n",
      "9   VPphOix2Ee6C6m8rEioTgg  ziX6PGLn         NaN   \n",
      "10  dB6xwixzEe6lSt9MxPeXog  ziX6PGLn   important   \n",
      "11  T2kPnixzEe6Qztcl9-XwUQ  ziX6PGLn         NaN   \n",
      "12  DMZOuCxzEe6Xmv9WRVOptA  ziX6PGLn   important   \n",
      "13  9cN2vixyEe6dpU83eQN-Yw  ziX6PGLn    key-word   \n",
      "14  SDHsSis0Ee6JGyOyfCC5rg  ziX6PGLn    key-word   \n",
      "\n",
      "                                                quote  \\\n",
      "0   an invitationtowards alternative practices for...   \n",
      "1   With Careful Slugs we do not wish to tokenize ...   \n",
      "2   caring for sticky moments and moments ofstuckn...   \n",
      "3   While reading, consider the images that we mad...   \n",
      "4                                              For CS   \n",
      "5   s cripistemological framework which attends to...   \n",
      "6                                    cripistemologica   \n",
      "7             Who is this creating accessibility for?   \n",
      "8   namings, cruising (Muñoz 2009), feelings, pock...   \n",
      "9                                                 NaN   \n",
      "10  scandal and enjoyment, friendships, refusals, ...   \n",
      "11  CS (the acronym for Computer Science) be repla...   \n",
      "12  to makechemical binds sticky enough to hold in...   \n",
      "13                                    defensive slime   \n",
      "14                            CS (Community Successes   \n",
      "\n",
      "                           text                             relay link  \\\n",
      "0                          core  https://hyp.is/Glfknix2Ee6R6zNUj07v-w   \n",
      "1                            hm  https://hyp.is/BnDqDCx2Ee6C6WubXb4maw   \n",
      "2                           NaN  https://hyp.is/3IVGUix1Ee68L__hqehyVA   \n",
      "3                          tone  https://hyp.is/zW79lCx0Ee6Tz6O7Q1Bb0g   \n",
      "4                    manifesto?  https://hyp.is/hTP5-Cx0Ee6mYA_I9ecaxQ   \n",
      "5                           NaN  https://hyp.is/ZgSczCx0Ee6OKv8-OFZISA   \n",
      "6    wanna know more about that  https://hyp.is/WmS_yCx0Ee6dGPtorALDwQ   \n",
      "7                           NaN  https://hyp.is/HciOgix0Ee6XnIORcVJ6og   \n",
      "8                           NaN  https://hyp.is/h9XDIixzEe6lS1vcDjG0xw   \n",
      "9                 !tooling down  https://hyp.is/VPphOix2Ee6C6m8rEioTgg   \n",
      "10                          NaN  https://hyp.is/dB6xwixzEe6lSt9MxPeXog   \n",
      "11  donna haraway style with SF  https://hyp.is/T2kPnixzEe6Qztcl9-XwUQ   \n",
      "12         like the formulation  https://hyp.is/DMZOuCxzEe6Xmv9WRVOptA   \n",
      "13                          NaN  https://hyp.is/9cN2vixyEe6dpU83eQN-Yw   \n",
      "14                          NaN  https://hyp.is/SDHsSis0Ee6JGyOyfCC5rg   \n",
      "\n",
      "                                          direct link  \n",
      "0   https://networkcultures.org/reading-group/text...  \n",
      "1   https://networkcultures.org/reading-group/text...  \n",
      "2   https://networkcultures.org/reading-group/text...  \n",
      "3   https://networkcultures.org/reading-group/text...  \n",
      "4   https://networkcultures.org/reading-group/text...  \n",
      "5   https://networkcultures.org/reading-group/text...  \n",
      "6   https://networkcultures.org/reading-group/text...  \n",
      "7   https://networkcultures.org/reading-group/text...  \n",
      "8   https://networkcultures.org/reading-group/text...  \n",
      "9   https://networkcultures.org/reading-group/text...  \n",
      "10  https://networkcultures.org/reading-group/text...  \n",
      "11  https://networkcultures.org/reading-group/text...  \n",
      "12  https://networkcultures.org/reading-group/text...  \n",
      "13  https://networkcultures.org/reading-group/text...  \n",
      "14  https://networkcultures.org/reading-group/text...  \n"
     ]
    }
   ],
   "source": [
    "print(df.head(15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ae7fcc43-c639-4126-b483-6347152313ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "important               23\n",
      "key-word                14\n",
      "citation                 8\n",
      "<3                       7\n",
      "trouble                  6\n",
      "definition               4\n",
      "reference                4\n",
      "comment                  3\n",
      "approval                 3\n",
      "disapprobation           2\n",
      "disapproval              2\n",
      "approbation              2\n",
      "solarpunk                1\n",
      "commentary               1\n",
      "keywords                 1\n",
      "keyword                  1\n",
      "approbation, trouble     1\n",
      "background info          1\n",
      "<3, reference            1\n",
      "important, reference     1\n",
      "Name: tags, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "tag_counts = df['tags'].value_counts()\n",
    "print(tag_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7b37dd19-1be3-49c5-97ca-68006dc8d6f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 30))\n",
    "plt.bar(tag_counts.index, tag_counts.values)\n",
    "plt.xlabel('Tags')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Tag Count Bar Plot')\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2304daa4-bc7e-4222-81b5-589ad582dbe5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     level              created              updated  \\\n",
      "0        0  2023-07-27T12:07:05  2023-07-27T12:07:05   \n",
      "1        0  2023-07-27T12:06:32  2023-07-27T12:06:32   \n",
      "2        0  2023-07-27T12:05:21  2023-07-27T12:05:21   \n",
      "3        0  2023-07-27T11:57:46  2023-07-27T11:57:46   \n",
      "4        0  2023-07-27T11:55:45  2023-07-27T11:55:45   \n",
      "..     ...                  ...                  ...   \n",
      "102      1  2023-07-21T15:12:17  2023-07-21T15:12:17   \n",
      "103      2  2023-07-25T21:47:04  2023-07-25T21:48:58   \n",
      "104      0  2023-07-20T13:36:12  2023-07-20T13:36:12   \n",
      "105      0  2023-07-20T13:32:12  2023-07-20T13:32:12   \n",
      "106      1  2023-07-25T22:07:59  2023-07-25T22:07:59   \n",
      "\n",
      "                                                   url            user  \\\n",
      "0    https://networkcultures.org/reading-group/text...    cyberfae1312   \n",
      "1    https://networkcultures.org/reading-group/text...    cyberfae1312   \n",
      "2    https://networkcultures.org/reading-group/text...    cyberfae1312   \n",
      "3    https://networkcultures.org/reading-group/text...    cyberfae1312   \n",
      "4    https://networkcultures.org/reading-group/text...    cyberfae1312   \n",
      "..                                                 ...             ...   \n",
      "102  http://www.susted.com/wordpress/content/solarp...        felixcat   \n",
      "103  http://www.susted.com/wordpress/content/solarp...       hd_onions   \n",
      "104  http://www.susted.com/wordpress/content/solarp...    cyberfae1312   \n",
      "105  http://www.susted.com/wordpress/content/solarp...    cyberfae1312   \n",
      "106  http://www.susted.com/wordpress/content/solarp...  augustomarquet   \n",
      "\n",
      "                         id     group       tags  \\\n",
      "0    Glfknix2Ee6R6zNUj07v-w  ziX6PGLn  important   \n",
      "1    BnDqDCx2Ee6C6WubXb4maw  ziX6PGLn    trouble   \n",
      "2    3IVGUix1Ee68L__hqehyVA  ziX6PGLn  important   \n",
      "3    zW79lCx0Ee6Tz6O7Q1Bb0g  ziX6PGLn        NaN   \n",
      "4    hTP5-Cx0Ee6mYA_I9ecaxQ  ziX6PGLn        NaN   \n",
      "..                      ...       ...        ...   \n",
      "102  -0h4WCfYEe6X0j8CVQ3i3Q  ziX6PGLn    trouble   \n",
      "103  y4T2Cis0Ee6tjLNG22UGVQ  ziX6PGLn        NaN   \n",
      "104  ZMxGVicCEe6XTDf92rVKWg  ziX6PGLn  important   \n",
      "105  1YJUuCcBEe6XS-8B-DZmGA  ziX6PGLn   citation   \n",
      "106  t4zp1Cs3Ee6HV7eGXwDGvA  ziX6PGLn        NaN   \n",
      "\n",
      "                                                 quote  \\\n",
      "0    an invitationtowards alternative practices for...   \n",
      "1    With Careful Slugs we do not wish to tokenize ...   \n",
      "2    caring for sticky moments and moments ofstuckn...   \n",
      "3    While reading, consider the images that we mad...   \n",
      "4                                               For CS   \n",
      "..                                                 ...   \n",
      "102                                                NaN   \n",
      "103                                                NaN   \n",
      "104  imagining what the world looks like in which w...   \n",
      "105  “It is easier to imagine the end of the world ...   \n",
      "106                                                NaN   \n",
      "\n",
      "                                                  text  \\\n",
      "0                                                 core   \n",
      "1                                                   hm   \n",
      "2                                                  NaN   \n",
      "3                                                 tone   \n",
      "4                                           manifesto?   \n",
      "..                                                 ...   \n",
      "102  what about multi-directionality? To avoid a fo...   \n",
      "103  i am also not sure about this notion of succee...   \n",
      "104                                          important   \n",
      "105                                                NaN   \n",
      "106  true ! Since I am kid - and previous - I have ...   \n",
      "\n",
      "                                relay link  \\\n",
      "0    https://hyp.is/Glfknix2Ee6R6zNUj07v-w   \n",
      "1    https://hyp.is/BnDqDCx2Ee6C6WubXb4maw   \n",
      "2    https://hyp.is/3IVGUix1Ee68L__hqehyVA   \n",
      "3    https://hyp.is/zW79lCx0Ee6Tz6O7Q1Bb0g   \n",
      "4    https://hyp.is/hTP5-Cx0Ee6mYA_I9ecaxQ   \n",
      "..                                     ...   \n",
      "102  https://hyp.is/-0h4WCfYEe6X0j8CVQ3i3Q   \n",
      "103  https://hyp.is/y4T2Cis0Ee6tjLNG22UGVQ   \n",
      "104  https://hyp.is/ZMxGVicCEe6XTDf92rVKWg   \n",
      "105  https://hyp.is/1YJUuCcBEe6XS-8B-DZmGA   \n",
      "106  https://hyp.is/t4zp1Cs3Ee6HV7eGXwDGvA   \n",
      "\n",
      "                                           direct link grouped_tags  \n",
      "0    https://networkcultures.org/reading-group/text...    important  \n",
      "1    https://networkcultures.org/reading-group/text...      trouble  \n",
      "2    https://networkcultures.org/reading-group/text...    important  \n",
      "3    https://networkcultures.org/reading-group/text...          NaN  \n",
      "4    https://networkcultures.org/reading-group/text...          NaN  \n",
      "..                                                 ...          ...  \n",
      "102  http://www.susted.com/wordpress/content/solarp...      trouble  \n",
      "103  http://www.susted.com/wordpress/content/solarp...          NaN  \n",
      "104  http://www.susted.com/wordpress/content/solarp...    important  \n",
      "105  http://www.susted.com/wordpress/content/solarp...     citation  \n",
      "106  http://www.susted.com/wordpress/content/solarp...          NaN  \n",
      "\n",
      "[107 rows x 13 columns]\n"
     ]
    }
   ],
   "source": [
    "# A mapping dictionary for grouping tags\n",
    "tag_mapping = {\n",
    "    'important': 'important',\n",
    "    'important, reference': 'important',\n",
    "    'key-word': 'key-word',\n",
    "    'keyword': 'key-word',\n",
    "    'definition': 'key-word',\n",
    "    'keywords': 'key-word',\n",
    "    'citation': 'citation',\n",
    "    'reference': 'citation',\n",
    "    '<3': 'affection',\n",
    "    '<3, reference': 'affection',\n",
    "    'comment': 'commentary',\n",
    "    'commentary': 'commentary',\n",
    "    'approval': 'approval',\n",
    "    'approbation': 'approval',\n",
    "    'approbation, trouble': 'approval',\n",
    "    'disapproval': 'disapproval',\n",
    "    'disapprobation': 'disapproval', \n",
    "    'trouble': 'trouble',\n",
    "}\n",
    "\n",
    "# A replace function for a new column with grouped values\n",
    "df['grouped_tags'] = df['tags'].replace(tag_mapping)\n",
    "\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "dd0df293-3c91-402a-b3fb-fb216af60d6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 10))  \n",
    "plt.bar(tag_counts.index, tag_counts.values)\n",
    "plt.xlabel('Tags')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Tag Count Bar Plot')\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('TagCountBarPlot.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6b26323a-21a1-4e14-9042-0ba073af79a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of all annotations: 107\n"
     ]
    }
   ],
   "source": [
    "df2 = pd.read_json('hypothesis.json')\n",
    "print('Number of all annotations:', len(df2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5aa49d86-cc23-4cb3-b091-e7d9deba1679",
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_df = df.merge(df2, on='id', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "e07eea95-d329-4ada-9eb0-410ffb3a5572",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# new DataFrame with the count of annotations that are replies\n",
    "# using the JSON file values of \"true\" or \"false\" to the key \"isReply\"\n",
    "grouped_counts = merged_df.groupby(['grouped_tags', 'isReply']).size().unstack(fill_value=0)\n",
    "\n",
    "grouped_counts.plot(kind='bar', stacked=True, colormap='Set1')\n",
    "plt.xlabel('Tags')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Tags count specifying if annotation is a reply')\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "plt.legend(title='isReply', labels=['No', 'Yes'])\n",
    "plt.tight_layout()\n",
    "plt.savefig('TagCountReplyBarPlot.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "b5f582b6-8fd4-4df9-b2a5-9fcdb601eeb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "merged_df['grouped_tags'].fillna('Unknown', inplace=True)\n",
    "\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "# new pivot dataframe to have 'user' on the x-axis and 'tags' as columns\n",
    "pivot_df = merged_df.pivot_table(index='user_x', columns='grouped_tags', values='isReply', aggfunc='count', fill_value=0)\n",
    "\n",
    "ax = pivot_df.plot(kind='bar', stacked=True, colormap='Set1')\n",
    "plt.xlabel('User')  \n",
    "plt.ylabel('Count')\n",
    "plt.title('Tags Used by User')\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "legend = ax.legend(title='Tags', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "for label in legend.get_texts():\n",
    "    label.set_fontsize('large')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('TagsPer&ByUser.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "86be0194-2ad7-4b64-bf0b-5ac781645fb0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        grouped_tags          user_x\n",
      "0          important    cyberfae1312\n",
      "1            trouble    cyberfae1312\n",
      "2          important    cyberfae1312\n",
      "3            Unknown    cyberfae1312\n",
      "4            Unknown    cyberfae1312\n",
      "5           key-word    cyberfae1312\n",
      "6            Unknown    cyberfae1312\n",
      "7          important    cyberfae1312\n",
      "8          important    cyberfae1312\n",
      "9            Unknown       hd_onions\n",
      "10         important    cyberfae1312\n",
      "11           Unknown    cyberfae1312\n",
      "12         important    cyberfae1312\n",
      "13          key-word    cyberfae1312\n",
      "14          key-word        felixcat\n",
      "15         important        felixcat\n",
      "16         affection        felixcat\n",
      "17           trouble        felixcat\n",
      "18          key-word        felixcat\n",
      "19          key-word        felixcat\n",
      "20         affection        felixcat\n",
      "21          key-word        felixcat\n",
      "22         important        felixcat\n",
      "23       disapproval            Drix\n",
      "24           Unknown            Drix\n",
      "25        commentary            Drix\n",
      "26           Unknown            Drix\n",
      "27       disapproval            Drix\n",
      "28        commentary            Drix\n",
      "29           trouble            Drix\n",
      "30           Unknown       hd_onions\n",
      "31          approval        felixcat\n",
      "32         important        felixcat\n",
      "33         affection        felixcat\n",
      "34          key-word        felixcat\n",
      "35           trouble        felixcat\n",
      "36         important        felixcat\n",
      "37         important        felixcat\n",
      "38          key-word        felixcat\n",
      "39         affection        felixcat\n",
      "40           Unknown       hd_onions\n",
      "41         affection        felixcat\n",
      "42       disapproval        felixcat\n",
      "43           Unknown            Drix\n",
      "44          key-word        felixcat\n",
      "45          citation        felixcat\n",
      "46         important        felixcat\n",
      "47         important        felixcat\n",
      "48          key-word        felixcat\n",
      "49        commentary  augustomarquet\n",
      "50   background info           Selby\n",
      "51          citation        felixcat\n",
      "52          citation         anoniet\n",
      "53           trouble       subsignal\n",
      "54          approval        felixcat\n",
      "55           Unknown       hd_onions\n",
      "56          approval            Drix\n",
      "57          key-word         anoniet\n",
      "58         solarpunk       hd_onions\n",
      "59          approval        felixcat\n",
      "60           Unknown            Drix\n",
      "61          key-word         anoniet\n",
      "62          citation    cyberfae1312\n",
      "63          key-word          goosey\n",
      "64           Unknown          goosey\n",
      "65           Unknown       hd_onions\n",
      "66          citation        felixcat\n",
      "67         affection        felixcat\n",
      "68          key-word        felixcat\n",
      "69         important        felixcat\n",
      "70          citation        felixcat\n",
      "71         important        felixcat\n",
      "72         important        felixcat\n",
      "73         important        felixcat\n",
      "74          citation        felixcat\n",
      "75          key-word        felixcat\n",
      "76         important        felixcat\n",
      "77          key-word        felixcat\n",
      "78           Unknown       hd_onions\n",
      "79          citation       hd_onions\n",
      "80           Unknown       hd_onions\n",
      "81          citation       subsignal\n",
      "82          approval       subsignal\n",
      "83        commentary       subsignal\n",
      "84           Unknown       subsignal\n",
      "85         important        felixcat\n",
      "86       disapproval        felixcat\n",
      "87         affection        felixcat\n",
      "88          key-word        felixcat\n",
      "89         important        felixcat\n",
      "90         affection    cyberfae1312\n",
      "91          key-word    cyberfae1312\n",
      "92         important    cyberfae1312\n",
      "93         important    cyberfae1312\n",
      "94          approval        felixcat\n",
      "95          citation    cyberfae1312\n",
      "96          citation    cyberfae1312\n",
      "97         important    cyberfae1312\n",
      "98           Unknown    cyberfae1312\n",
      "99          key-word    cyberfae1312\n",
      "100         key-word    cyberfae1312\n",
      "101          Unknown    cyberfae1312\n",
      "102          trouble        felixcat\n",
      "103          Unknown       hd_onions\n",
      "104        important    cyberfae1312\n",
      "105         citation    cyberfae1312\n",
      "106          Unknown  augustomarquet\n"
     ]
    }
   ],
   "source": [
    "pd.set_option('display.max_rows', None)\n",
    "print(merged_df[['grouped_tags', 'user_x']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "ccad5ed4-e8a7-46a4-a405-3b8fe5cbf841",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0      2023-07-27T12:07:05\n",
      "1      2023-07-27T12:06:32\n",
      "2      2023-07-27T12:05:21\n",
      "3      2023-07-27T11:57:46\n",
      "4      2023-07-27T11:55:45\n",
      "5      2023-07-27T11:54:53\n",
      "6      2023-07-27T11:54:33\n",
      "7      2023-07-27T11:52:52\n",
      "8      2023-07-27T11:48:40\n",
      "9      2023-07-27T12:08:43\n",
      "10     2023-07-27T11:48:07\n",
      "11     2023-07-27T11:47:05\n",
      "12     2023-07-27T11:45:14\n",
      "13     2023-07-27T11:44:35\n",
      "14     2023-07-25T21:43:24\n",
      "15     2023-07-25T21:43:00\n",
      "16     2023-07-25T21:51:46\n",
      "17     2023-07-25T21:32:18\n",
      "18     2023-07-25T21:17:04\n",
      "19     2023-07-25T21:15:48\n",
      "20     2023-07-25T21:07:21\n",
      "21     2023-07-25T21:04:04\n",
      "22     2023-07-25T21:03:28\n",
      "23     2023-07-26T22:44:27\n",
      "24     2023-07-26T22:43:22\n",
      "25     2023-07-26T22:39:39\n",
      "26     2023-07-26T22:33:19\n",
      "27     2023-07-26T22:30:23\n",
      "28     2023-07-26T22:28:37\n",
      "29     2023-07-20T17:42:28\n",
      "30     2023-07-25T21:17:09\n",
      "31     2023-07-19T16:39:54\n",
      "32     2023-07-19T16:26:01\n",
      "33     2023-07-19T16:23:11\n",
      "34     2023-07-19T16:19:42\n",
      "35     2023-07-19T16:17:34\n",
      "36     2023-07-19T16:07:03\n",
      "37     2023-07-19T16:00:13\n",
      "38     2023-07-19T15:51:49\n",
      "39     2023-07-19T15:42:57\n",
      "40     2023-07-25T21:26:06\n",
      "41     2023-07-19T15:40:57\n",
      "42     2023-07-19T15:39:29\n",
      "43     2023-07-26T22:24:03\n",
      "44     2023-07-19T15:30:45\n",
      "45     2023-07-19T15:11:59\n",
      "46     2023-07-19T15:05:44\n",
      "47     2023-07-19T14:55:58\n",
      "48     2023-07-19T14:50:55\n",
      "49     2023-07-18T10:13:42\n",
      "50     2023-07-18T10:10:47\n",
      "51     2023-07-19T15:01:18\n",
      "52     2023-07-18T10:04:11\n",
      "53     2023-07-18T10:03:15\n",
      "54     2023-07-19T15:27:21\n",
      "55     2023-07-25T21:21:21\n",
      "56     2023-07-26T22:18:11\n",
      "57     2023-07-18T10:00:07\n",
      "58     2023-07-18T09:59:12\n",
      "59     2023-07-19T15:57:58\n",
      "60     2023-07-26T22:41:02\n",
      "61     2023-07-18T09:58:09\n",
      "62     2023-07-18T09:57:16\n",
      "63     2023-07-18T09:57:42\n",
      "64     2023-07-18T09:51:21\n",
      "65     2023-07-25T21:11:56\n",
      "66     2023-07-19T16:43:02\n",
      "67     2023-07-26T19:02:06\n",
      "68     2023-07-26T18:52:20\n",
      "69     2023-07-26T15:13:10\n",
      "70     2023-07-26T15:08:45\n",
      "71     2023-07-26T15:06:00\n",
      "72     2023-07-26T15:03:48\n",
      "73     2023-07-26T15:03:00\n",
      "74     2023-07-26T15:01:17\n",
      "75     2023-07-26T14:58:04\n",
      "76     2023-07-26T14:58:23\n",
      "77     2023-07-26T14:55:26\n",
      "78     2023-07-25T21:50:17\n",
      "79     2023-07-25T21:43:10\n",
      "80     2023-07-25T21:41:00\n",
      "81     2023-07-23T19:01:20\n",
      "82     2023-07-23T19:00:30\n",
      "83     2023-07-23T09:56:51\n",
      "84     2023-07-23T09:46:56\n",
      "85     2023-07-21T15:19:04\n",
      "86     2023-07-21T15:15:52\n",
      "87     2023-07-21T15:13:24\n",
      "88     2023-07-21T15:08:24\n",
      "89     2023-07-21T15:07:05\n",
      "90     2023-07-20T13:51:44\n",
      "91     2023-07-20T13:50:33\n",
      "92     2023-07-20T13:49:55\n",
      "93     2023-07-20T13:46:21\n",
      "94     2023-07-21T15:13:58\n",
      "95     2023-07-20T13:44:39\n",
      "96     2023-07-20T13:43:42\n",
      "97     2023-07-20T13:40:58\n",
      "98     2023-07-20T13:40:06\n",
      "99     2023-07-20T13:39:40\n",
      "100    2023-07-20T13:39:12\n",
      "101    2023-07-20T13:37:33\n",
      "102    2023-07-21T15:12:17\n",
      "103    2023-07-25T21:47:04\n",
      "104    2023-07-20T13:36:12\n",
      "105    2023-07-20T13:32:12\n",
      "106    2023-07-25T22:07:59\n",
      "Name: created_x, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(merged_df['created_x'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "55e9fa38-56e6-48e3-9657-a47d3db701a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A histogram to visualize the distribution of annotations throughout the 10 days span of reading\n",
    "plt.figure(figsize=(12, 6))  \n",
    "plt.hist(merged_df['updated_y'], bins=20, edgecolor='k')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Annotation Distribution Histogram')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('AnnotationDistributionHistogram.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "c476fa45-c5f5-4a1e-86ce-70c970ca36c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A Histogram with two columns per day\n",
    "plt.figure(figsize=(12, 6))  \n",
    "plt.hist(merged_df['updated_y'], bins=2 * num_unique_dates, edgecolor='k')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Date Distribution Histogram')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('AnnotationDistributionHistogram2.png', dpi=300)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}