AKON Data Overview.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# AKON Metadata - Data Overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Get a first impression of the postcard metadata*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the [Pandas Python Data Analysis Library](https://pandas.pydata.org/).\n",
    "\n",
    "For an intro to pandas feel free to take a look at this [Workshop for CBioVikings](https://github.com/dblyon/PandasIntro) by David Lyon."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`df` stands for *Data Frame*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/kst/tmp/dingsdi/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3049: DtypeWarning: Columns (13) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('https://labs.onb.ac.at/gitlab/labs-team/raw-metadata/raw/master/akon_postcards_public_domain.csv.bz2', compression='bz2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## View Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rough Overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How much datasets are in there?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "34846"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What does a dataset look like?\n",
    "Show me the first one!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>akon_id</th>\n",
       "      <th>id</th>\n",
       "      <th>altitude</th>\n",
       "      <th>building</th>\n",
       "      <th>city</th>\n",
       "      <th>color</th>\n",
       "      <th>comment</th>\n",
       "      <th>mountain</th>\n",
       "      <th>other</th>\n",
       "      <th>...</th>\n",
       "      <th>geoname_id</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>name</th>\n",
       "      <th>country_id</th>\n",
       "      <th>admin_name_1</th>\n",
       "      <th>admin_code_1</th>\n",
       "      <th>geo</th>\n",
       "      <th>download_link</th>\n",
       "      <th>download_link_256x256</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>AK111_021</td>\n",
       "      <td>74682</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kiel, Blücherplatz</td>\n",
       "      <td>False</td>\n",
       "      <td>1921 gel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2891122.0</td>\n",
       "      <td>54.32133</td>\n",
       "      <td>10.13489</td>\n",
       "      <td>Kiel</td>\n",
       "      <td>DE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.32133, 10.13489</td>\n",
       "      <td>https://iiif.onb.ac.at/images/AKON/AK111_021/0...</td>\n",
       "      <td>https://iiif.onb.ac.at/images/AKON/AK111_021/0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 32 columns</p>\n",
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