Some filenames: spaces replaced with minus sign

ebef1a3e · Pieter van der Hijden · 7707322c · ebef1a3e · ebef1a3e · ebef1a3e
Commit ebef1a3e authored 3 years ago by Pieter van der Hijden
--- a/aggregated-results/sdg-profiles-statistics.ipynb
+++ b/aggregated-results/sdg-profiles-statistics.ipynb
@@ -24,7 +24,7 @@
   "cell_type": "markdown",
   "metadata": {},
   "source": [
-    "## Install packages"
+    "## Install packages (optional)"
   ]
  },
  {
@@ -112,7 +112,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
@@ -121,7 +121,7 @@
       "(244, 29)"
      ]
     },
-     "execution_count": 5,
+     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
@@ -132,14 +132,14 @@
    "url = 'https://gitlab.fabcloud.org/fl-management/fl-sdgs/sdg-workshop/-/raw/master/'\n",
    "url = url + 'aggregated-results/FabLab-SDGProfile-Registration.xlsx' \n",
    "timestamp = datetime.datetime.utcnow()\n",
-    "profiles=pd.read_excel(url, 'processing', index_col=27)\n",
+    "#profiles=pd.read_excel(url, 'processing', index_col=27)\n",
    "\n",
    "# Write dataframe to local storage\n",
    "if not os.path.exists('data'):\n",
    "    os.makedirs('data')\n",
    "\n",
    "# Write dataframe to csv-file\n",
-    "profiles.to_csv('data/profiles.csv')\n",
+    "#profiles.to_csv('data/profiles.csv')\n",
    "\n",
    "# Read dataframe from local storage\n",
    "profiles = pd.read_csv('data/profiles.csv')\n",
@@ -166,7 +166,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
@@ -175,23 +175,85 @@
       "(244, 27)"
      ]
     },
-     "execution_count": 6,
+     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Clean dataframe 'profiles'\n",
+    "\n",
    "# Delete verbose and superfluous columns 6-7\n",
    "del profiles['Enter your SDG profile by ticking 2-4 SDGs']\n",
    "del profiles['One more thing!']\n",
    "\n",
+    "# Change column names\n",
+    "profiles = profiles.rename(columns={'The name of your fab lab':'fab-name'})\n",
+    "profiles = profiles.rename(columns={'Country of your fab lab':'fab-country'})\n",
+    "profiles = profiles.rename(columns={'URL of your fab lab page on www.fablabs.io':'fablabs.io-url'})\n",
+    "for s in range(17):\n",
+    "    profiles = profiles.rename(columns={'SDG ' + str(s+1):'SDG-' + f'{(s+1):02d}'}) # SDG columns 2 digits 0 spaces\n",
+    "\n",
+    "profiles.columns = profiles.columns.str.replace(' ', '') # remove spaces in column names\n",
+    "profiles.columns = profiles.columns.str.lower() # convert column names to lower case\n",
+    "profiles.columns = profiles.columns.str.replace('sdg', 'SDG') # remove spaces in column names\n",
+    "\n",
    "profiles.shape"
   ]
  },
  {
   "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 244 entries, 0 to 243\n",
+      "Data columns (total 27 columns):\n",
+      " #   Column          Non-Null Count  Dtype \n",
+      "---  ------          --------------  ----- \n",
+      " 0   slug            231 non-null    object\n",
+      " 1   tijdstempel     238 non-null    object\n",
+      " 2   e-mailadres     238 non-null    object\n",
+      " 3   yourfullname    238 non-null    object\n",
+      " 4   fab-name        238 non-null    object\n",
+      " 5   fab-country     237 non-null    object\n",
+      " 6   fablabs.io-url  238 non-null    object\n",
+      " 7   SDG-01          9 non-null      object\n",
+      " 8   SDG-02          13 non-null     object\n",
+      " 9   SDG-03          26 non-null     object\n",
+      " 10  SDG-04          190 non-null    object\n",
+      " 11  SDG-05          75 non-null     object\n",
+      " 12  SDG-06          14 non-null     object\n",
+      " 13  SDG-07          33 non-null     object\n",
+      " 14  SDG-08          68 non-null     object\n",
+      " 15  SDG-09          156 non-null    object\n",
+      " 16  SDG-10          24 non-null     object\n",
+      " 17  SDG-11          82 non-null     object\n",
+      " 18  SDG-12          102 non-null    object\n",
+      " 19  SDG-13          24 non-null     object\n",
+      " 20  SDG-14          7 non-null      object\n",
+      " 21  SDG-15          18 non-null     object\n",
+      " 22  SDG-16          2 non-null      object\n",
+      " 23  SDG-17          42 non-null     object\n",
+      " 24  summary         244 non-null    object\n",
+      " 25  status          244 non-null    object\n",
+      " 26  check           221 non-null    object\n",
+      "dtypes: object(27)\n",
+      "memory usage: 25.8+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "profiles.info()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
@@ -200,7 +262,7 @@
       "(238, 27)"
      ]
     },
-     "execution_count": 7,
+     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
@@ -208,7 +270,7 @@
   "source": [
    "# Clean dataframe 'profiles'\n",
    "# Skip empty rows\n",
-    "profiles = profiles.loc[profiles['Tijdstempel'].notna()]\n",
+    "profiles = profiles.loc[profiles['tijdstempel'].notna()]\n",
    "\n",
    "profiles.shape"
   ]
@@ -226,16 +288,16 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
-       "(2015, 22)"
+       "(2015, 23)"
      ]
     },
-     "execution_count": 4,
+     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
@@ -245,18 +307,18 @@
    "# Read JSON from website and convert to Dataframe\n",
    "url = \"https://fablabs.io/labs.json?class=btn+btn-primary\"\n",
    "timestamp = datetime.datetime.utcnow()\n",
-    "fablabs = pd.read_json(url)\n",
+    "#fablabs = pd.read_json(url)\n",
-    "fablabs = fablabs.set_index('slug')\n",
+    "#fablabs = fablabs.set_index('slug')\n",
    "\n",
    "# Write dataframe to local storage\n",
    "if not os.path.exists('data'):\n",
    "    os.makedirs('data')\n",
    "\n",
    "# Write dataframe to csv-file\n",
-    "fablabs.to_csv('data/fablabs.csv')\n",
+    "#fablabs.to_csv('data/fablabs.csv')\n",
    "\n",
    "# Read dataframe from local storage\n",
-    "#fablabs = pd.read_csv('data/fablabs.csv')\n",
+    "fablabs = pd.read_csv('data/fablabs.csv')\n",
    "\n",
    "# log number of objects and number of fields\n",
    "if not os.path.exists('output'):\n",
@@ -278,7 +340,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
@@ -287,7 +349,7 @@
       "(238, 49)"
      ]
     },
-     "execution_count": 8,
+     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
@@ -297,13 +359,216 @@
    "profiles.shape"
   ]
  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create table: SDG preferences\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['slug', 'tijdstempel', 'e-mailadres', 'yourfullname', 'fab-name',\n",
+       "       'fab-country', 'fablabs.io-url', 'SDG-01', 'SDG-02', 'SDG-03', 'SDG-04',\n",
+       "       'SDG-05', 'SDG-06', 'SDG-07', 'SDG-08', 'SDG-09', 'SDG-10', 'SDG-11',\n",
+       "       'SDG-12', 'SDG-13', 'SDG-14', 'SDG-15', 'SDG-16', 'SDG-17', 'summary',\n",
+       "       'status', 'check', 'id', 'name', 'kind_name', 'parent_id', 'blurb',\n",
+       "       'description', 'avatar_url', 'header_url', 'address_1', 'address_2',\n",
+       "       'city', 'county', 'postal_code', 'country_code', 'latitude',\n",
+       "       'longitude', 'address_notes', 'phone', 'email', 'capabilities',\n",
+       "       'activity_status', 'links'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "profiles.columns\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SDG-01</th>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-02</th>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-03</th>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-04</th>\n",
+       "      <td>172</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-05</th>\n",
+       "      <td>70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-06</th>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-07</th>\n",
+       "      <td>30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-08</th>\n",
+       "      <td>63</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-09</th>\n",
+       "      <td>148</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-10</th>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-11</th>\n",
+       "      <td>79</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-12</th>\n",
+       "      <td>96</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-13</th>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-14</th>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-15</th>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-16</th>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SDG-17</th>\n",
+       "      <td>35</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          0\n",
+       "SDG-01    8\n",
+       "SDG-02   12\n",
+       "SDG-03   23\n",
+       "SDG-04  172\n",
+       "SDG-05   70\n",
+       "SDG-06   12\n",
+       "SDG-07   30\n",
+       "SDG-08   63\n",
+       "SDG-09  148\n",
+       "SDG-10   22\n",
+       "SDG-11   79\n",
+       "SDG-12   96\n",
+       "SDG-13   24\n",
+       "SDG-14    5\n",
+       "SDG-15   16\n",
+       "SDG-16    2\n",
+       "SDG-17   35"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# select rows with status = 'green' and columns sdg1-17\n",
+    "# create list of sdg column names\n",
+    "sdgs = []\n",
+    "for s in range(17):\n",
+    "    sdgs = sdgs + [\"SDG-\" + f'{(s+1):02d}']\n",
+    "selprofiles = profiles[profiles['status'] == 'green'][sdgs] # select rows flagged 'green' and columns SDG1-17\n",
+    "selseries = selprofiles.count() # create series with sdg counts 1-17\n",
+    "mytable = selseries.to_frame() # convert series to frame\n",
+    "mytable.head(20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Index: 17 entries, SDG-01 to SDG-17\n",
+      "Data columns (total 1 columns):\n",
+      " #   Column  Non-Null Count  Dtype\n",
+      "---  ------  --------------  -----\n",
+      " 0   0       17 non-null     int64\n",
+      "dtypes: int64(1)\n",
+      "memory usage: 204.0+ bytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "seltable = selseries.to_frame()\n",
+    "seltable.info()\n"
+   ]
+  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## State-of-affairs\n",
    "\n",
-    "* input profiles, input fablabs and merging profiles+fablabs ok "
+    "* current: create table with sdg preferences: SDG-code, SDG-label, Count, Percentage\n",
+    "* next: create piechart based on table\n",
+    "* next: export table and piechart as images"
   ]
  }
 ],

 %% Cell type:markdown id: tags:
 # Generating a report on Aligning a Fab Lab with the UN SDGs
 #### Author: Pieter van der Hijden (pvdh@sofos.nl) - "Fab Labs and SDGs" Working Group; Pieter van der Hijden (The Netherlands & Suriname) plus global team: Enrico Bassi (Italy), Vaneza Caycho Ñuflo (Peru), Nagwa ElNwishy (Egypt), Neville Govender (South Africa), Ted Hung (Taiwan), Arundhati Jadhav (India), Beno Juarez (Peru), Yogesh Kulkarni (India), Noksy Letsoalo (South Africa), Jean-Baptiste Natali (New Zealand), Wendy Neale (New Zealand), Mess Wright (USA)
 #### This work is licensed under a Creative Commons Attribution 4.0 International License; https://creativecommons.org/licenses/by/4.0/.
 ### Purpose
 As a service to the individual fablabs we want to generate a report on a specific fab lab and its alignment with the UN Sustrainable Development Goals (SDGs). The information included is either generic in nature, or derived from various databases (fablabs basic data from fablabs.io, fablabs sdg profiles from sdg profile registration spreadsheet).
 ### Table of Contents
 1. Install packages
 1. Import libraries
 1. Prepare dataframes
    * Prepare dataframe profiles from gitlab.fabcloud.org
    * Prepare dataframe fablabs from fablabs.io
 1. Merge profiles with fablabs (left)
 %% Cell type:markdown id: tags:
-## Install packages
+## Install packages (optional)
 %% Cell type:code id: tags:
 ``` python
 # Install packages
 !sudo pip3 install pandas
 !sudo pip3 install openpyxl
 ```
 %% Output
    Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
    Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (1.2.3)
    Requirement already satisfied: numpy>=1.16.5 in /usr/local/lib/python3.7/dist-packages (from pandas) (1.20.1)
    Requirement already satisfied: python-dateutil>=2.7.3 in /usr/lib/python3/dist-packages (from pandas) (2.7.3)
    Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas) (2021.1)
    [33mWARNING: Running pip as root will break packages and permissions. You should install packages reliably by using venv: https://pip.pypa.io/warnings/venv[0m
    Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
    Requirement already satisfied: openpyxl in /usr/local/lib/python3.7/dist-packages (3.0.7)
    Requirement already satisfied: et-xmlfile in /usr/local/lib/python3.7/dist-packages (from openpyxl) (1.0.1)
    [33mWARNING: Running pip as root will break packages and permissions. You should install packages reliably by using venv: https://pip.pypa.io/warnings/venv[0m
 %% Cell type:markdown id: tags:
 ## Install newest pip (optional)
 %% Cell type:code id: tags:
 ``` python
 !sudo /usr/bin/python3 -m pip install --upgrade pip
 ```
 %% Output
    Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
    Requirement already satisfied: pip in /usr/local/lib/python3.7/dist-packages (21.1.1)
    [33mWARNING: Running pip as root will break packages and permissions. You should install packages reliably by using venv: https://pip.pypa.io/warnings/venv[0m
 %% Cell type:markdown id: tags:
 ## Install libraries
 %% Cell type:code id: tags:
 ``` python
 import pandas as pd
 import datetime
 import os
 ```
 %% Cell type:markdown id: tags:
 ## Prepare dataframe 'profiles' from https://gitlab.fabcloud.org
 Options
 * Read xlsx data from gitlab.fabcloud.org to pandas dataframe 'profiles'
 * Save dataframe 'profiles' to data/profiles.csv
 * Read dataframe 'profiles' from data/profiles.csv
 %% Cell type:code id: tags:
 ``` python
 # Get data from gitlab.fabcloud.org
 # Read XLSX sheet with fab lab sdg profiles
 url = 'https://gitlab.fabcloud.org/fl-management/fl-sdgs/sdg-workshop/-/raw/master/'
 url = url + 'aggregated-results/FabLab-SDGProfile-Registration.xlsx'
 timestamp = datetime.datetime.utcnow()
-profiles=pd.read_excel(url, 'processing', index_col=27)
+#profiles=pd.read_excel(url, 'processing', index_col=27)
 # Write dataframe to local storage
 if not os.path.exists('data'):
    os.makedirs('data')
 # Write dataframe to csv-file
-profiles.to_csv('data/profiles.csv')
+#profiles.to_csv('data/profiles.csv')
 # Read dataframe from local storage
 profiles = pd.read_csv('data/profiles.csv')
 # log number of objects and number of fields
 if not os.path.exists('output'):
    os.makedirs('output')
 line = str(timestamp) + ' - ' + url   + ' - ' + str(profiles.shape)
 f = open('output/log.txt', 'a')
 f.write(line)
 #f.close()
 profiles.shape
 ```
 %% Output
    (244, 29)
 %% Cell type:markdown id: tags:
 ## Clean dataframe 'profiles'
 * Delete verbose and superfluous columns
 * Skip empty rows
 %% Cell type:code id: tags:
 ``` python
 # Clean dataframe 'profiles'
 # Delete verbose and superfluous columns 6-7
 del profiles['Enter your SDG profile by ticking 2-4 SDGs']
 del profiles['One more thing!']
+# Change column names
+profiles = profiles.rename(columns={'The name of your fab lab':'fab-name'})
+profiles = profiles.rename(columns={'Country of your fab lab':'fab-country'})
+profiles = profiles.rename(columns={'URL of your fab lab page on www.fablabs.io':'fablabs.io-url'})
+for s in range(17):
+    profiles = profiles.rename(columns={'SDG ' + str(s+1):'SDG-' + f'{(s+1):02d}'}) # SDG columns 2 digits 0 spaces
+profiles.columns = profiles.columns.str.replace(' ', '') # remove spaces in column names
+profiles.columns = profiles.columns.str.lower() # convert column names to lower case
+profiles.columns = profiles.columns.str.replace('sdg', 'SDG') # remove spaces in column names
 profiles.shape
 ```
 %% Output
    (244, 27)
 %% Cell type:code id: tags:
 ``` python
+profiles.info()
+```
+%% Output
+    <class 'pandas.core.frame.DataFrame'>
+    RangeIndex: 244 entries, 0 to 243
+    Data columns (total 27 columns):
+     #   Column          Non-Null Count  Dtype
+    ---  ------          --------------  -----
+     0   slug            231 non-null    object
+     1   tijdstempel     238 non-null    object
+     2   e-mailadres     238 non-null    object
+     3   yourfullname    238 non-null    object
+     4   fab-name        238 non-null    object
+     5   fab-country     237 non-null    object
+     6   fablabs.io-url  238 non-null    object
+     7   SDG-01          9 non-null      object
+     8   SDG-02          13 non-null     object
+     9   SDG-03          26 non-null     object
+     10  SDG-04          190 non-null    object
+     11  SDG-05          75 non-null     object
+     12  SDG-06          14 non-null     object
+     13  SDG-07          33 non-null     object
+     14  SDG-08          68 non-null     object
+     15  SDG-09          156 non-null    object
+     16  SDG-10          24 non-null     object
+     17  SDG-11          82 non-null     object
+     18  SDG-12          102 non-null    object
+     19  SDG-13          24 non-null     object
+     20  SDG-14          7 non-null      object
+     21  SDG-15          18 non-null     object
+     22  SDG-16          2 non-null      object
+     23  SDG-17          42 non-null     object
+     24  summary         244 non-null    object
+     25  status          244 non-null    object
+     26  check           221 non-null    object
+    dtypes: object(27)
+    memory usage: 25.8+ KB
+%% Cell type:code id: tags:
+``` python
 # Clean dataframe 'profiles'
 # Skip empty rows
-profiles = profiles.loc[profiles['Tijdstempel'].notna()]
+profiles = profiles.loc[profiles['tijdstempel'].notna()]
 profiles.shape
 ```
 %% Output
    (238, 27)
 %% Cell type:markdown id: tags:
 ## Prepare dataframe 'fablabs' from https://fablabs.io
 Options
 * Read json data from fablabs.io to pandas dataframe 'fablabs'
 * Save dataframe 'fablabs' to data/fablabs.csv
 * Read dataframe 'fablabs' from data/fablabs.csv
 %% Cell type:code id: tags:
 ``` python
 # Get data from fablabs.io web site
 # Read JSON from website and convert to Dataframe
 url = "https://fablabs.io/labs.json?class=btn+btn-primary"
 timestamp = datetime.datetime.utcnow()
-fablabs = pd.read_json(url)
+#fablabs = pd.read_json(url)
-fablabs = fablabs.set_index('slug')
+#fablabs = fablabs.set_index('slug')
 # Write dataframe to local storage
 if not os.path.exists('data'):
    os.makedirs('data')
 # Write dataframe to csv-file
-fablabs.to_csv('data/fablabs.csv')
+#fablabs.to_csv('data/fablabs.csv')
 # Read dataframe from local storage
-#fablabs = pd.read_csv('data/fablabs.csv')
+fablabs = pd.read_csv('data/fablabs.csv')
 # log number of objects and number of fields
 if not os.path.exists('output'):
    os.makedirs('output')
 line = str(timestamp) + ' - ' + url   + ' - ' + str(fablabs.shape)
 f = open('output/log.txt', 'a')
 f.write(line)
 #f.close()
 fablabs.shape
 ```
 %% Output
-    (2015, 22)
+    (2015, 23)
 %% Cell type:markdown id: tags:
 ## Merge profiles data with fablabs  data
 %% Cell type:code id: tags:
 ``` python
 profiles = pd.merge(profiles, fablabs, how="left", on="slug")
 profiles.shape
 ```
 %% Output
    (238, 49)
 %% Cell type:markdown id: tags:
+## Create table: SDG preferences
+%% Cell type:code id: tags:
+``` python
+profiles.columns
+```
+%% Output
+    Index(['slug', 'tijdstempel', 'e-mailadres', 'yourfullname', 'fab-name',
+           'fab-country', 'fablabs.io-url', 'SDG-01', 'SDG-02', 'SDG-03', 'SDG-04',
+           'SDG-05', 'SDG-06', 'SDG-07', 'SDG-08', 'SDG-09', 'SDG-10', 'SDG-11',
+           'SDG-12', 'SDG-13', 'SDG-14', 'SDG-15', 'SDG-16', 'SDG-17', 'summary',
+           'status', 'check', 'id', 'name', 'kind_name', 'parent_id', 'blurb',
+           'description', 'avatar_url', 'header_url', 'address_1', 'address_2',
+           'city', 'county', 'postal_code', 'country_code', 'latitude',
+           'longitude', 'address_notes', 'phone', 'email', 'capabilities',
+           'activity_status', 'links'],
+          dtype='object')
+%% Cell type:code id: tags:
+``` python
+# select rows with status = 'green' and columns sdg1-17
+# create list of sdg column names
+sdgs = []
+for s in range(17):
+    sdgs = sdgs + ["SDG-" + f'{(s+1):02d}']
+selprofiles = profiles[profiles['status'] == 'green'][sdgs] # select rows flagged 'green' and columns SDG1-17
+selseries = selprofiles.count() # create series with sdg counts 1-17
+mytable = selseries.to_frame() # convert series to frame
+mytable.head(20)
+```
+%% Output
+              0
+    SDG-01    8
+    SDG-02   12
+    SDG-03   23
+    SDG-04  172
+    SDG-05   70
+    SDG-06   12
+    SDG-07   30
+    SDG-08   63
+    SDG-09  148
+    SDG-10   22
+    SDG-11   79
+    SDG-12   96
+    SDG-13   24
+    SDG-14    5
+    SDG-15   16
+    SDG-16    2
+    SDG-17   35
+%% Cell type:code id: tags:
+``` python
+seltable = selseries.to_frame()
+seltable.info()
+```
+%% Output
+    <class 'pandas.core.frame.DataFrame'>
+    Index: 17 entries, SDG-01 to SDG-17
+    Data columns (total 1 columns):
+     #   Column  Non-Null Count  Dtype
+    ---  ------  --------------  -----
+     0   0       17 non-null     int64
+    dtypes: int64(1)
+    memory usage: 204.0+ bytes
+%% Cell type:markdown id: tags:
 ## State-of-affairs
-* input profiles, input fablabs and merging profiles+fablabs ok
+* current: create table with sdg preferences: SDG-code, SDG-label, Count, Percentage
+* next: create piechart based on table
+* next: export table and piechart as images

--- a/local-workshop-sources/sdg icon translator.xlsx
+++ b/local-workshop-sources/sdg icon translator.xlsx
--- a/local-workshop-sources/sdg translator.xlsx
+++ b/local-workshop-sources/sdg translator.xlsx