diff --git a/aggregated-results/sdg-profiles-statistics.ipynb b/aggregated-results/sdg-profiles-statistics.ipynb
index 091994ba209132a5e3be0e264193b59f0fc7a862..009395fd33a818e1e945b52113edc0ad9639678a 100644
--- 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 = fablabs.set_index('slug')\n",
+ "#fablabs = pd.read_json(url)\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"
]
}
],
diff --git a/local-workshop-sources/sdg icon translator.xlsx b/local-workshop-sources/sdg icon translator.xlsx
deleted file mode 100644
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diff --git a/local-workshop-sources/sdg-icon-translator.xlsx b/local-workshop-sources/sdg-icon-translator.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..6f807e745107e9e6cc616ea90e03c54e8efe6b0b
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diff --git a/local-workshop-sources/sdg translator.xlsx b/local-workshop-sources/sdg-translator.xlsx
similarity index 100%
rename from local-workshop-sources/sdg translator.xlsx
rename to local-workshop-sources/sdg-translator.xlsx