diff --git a/aggregated-results/sdg-profiles-statistics.ipynb b/aggregated-results/sdg-profiles-statistics.ipynb
index 03a68422007dd7f26c0c18e4d4c1e6ab8ffaedce..091994ba209132a5e3be0e264193b59f0fc7a862 100644
--- a/aggregated-results/sdg-profiles-statistics.ipynb
+++ b/aggregated-results/sdg-profiles-statistics.ipynb
@@ -90,7 +90,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -112,7 +112,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
@@ -121,7 +121,7 @@
"(244, 29)"
]
},
- "execution_count": 4,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -166,48 +166,18 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 6,
"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 Your fullname 238 non-null object\n",
- " 4 The name of your fab lab 238 non-null object\n",
- " 5 Country of your fab lab 237 non-null object\n",
- " 6 URL of your fab lab page on www.fablabs.io 238 non-null object\n",
- " 7 SDG 1 9 non-null object\n",
- " 8 SDG 2 13 non-null object\n",
- " 9 SDG 3 26 non-null object\n",
- " 10 SDG 4 190 non-null object\n",
- " 11 SDG 5 75 non-null object\n",
- " 12 SDG 6 14 non-null object\n",
- " 13 SDG 7 33 non-null object\n",
- " 14 SDG 8 68 non-null object\n",
- " 15 SDG 9 156 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"
- ]
+ "data": {
+ "text/plain": [
+ "(244, 27)"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
@@ -216,53 +186,23 @@
"del profiles['Enter your SDG profile by ticking 2-4 SDGs']\n",
"del profiles['One more thing!']\n",
"\n",
- "profiles.info()"
+ "profiles.shape"
]
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "<class 'pandas.core.frame.DataFrame'>\n",
- "Int64Index: 238 entries, 0 to 237\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 Your fullname 238 non-null object\n",
- " 4 The name of your fab lab 238 non-null object\n",
- " 5 Country of your fab lab 237 non-null object\n",
- " 6 URL of your fab lab page on www.fablabs.io 238 non-null object\n",
- " 7 SDG 1 9 non-null object\n",
- " 8 SDG 2 13 non-null object\n",
- " 9 SDG 3 26 non-null object\n",
- " 10 SDG 4 190 non-null object\n",
- " 11 SDG 5 75 non-null object\n",
- " 12 SDG 6 14 non-null object\n",
- " 13 SDG 7 33 non-null object\n",
- " 14 SDG 8 68 non-null object\n",
- " 15 SDG 9 156 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 238 non-null object\n",
- " 25 status 238 non-null object\n",
- " 26 check 221 non-null object\n",
- "dtypes: object(27)\n",
- "memory usage: 27.0+ KB\n"
- ]
+ "data": {
+ "text/plain": [
+ "(238, 27)"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
@@ -270,7 +210,7 @@
"# Skip empty rows\n",
"profiles = profiles.loc[profiles['Tijdstempel'].notna()]\n",
"\n",
- "profiles.info()"
+ "profiles.shape"
]
},
{
@@ -286,43 +226,18 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "<class 'pandas.core.frame.DataFrame'>\n",
- "Index: 2015 entries, ping to ZapLab\n",
- "Data columns (total 22 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 id 2015 non-null int64 \n",
- " 1 name 2015 non-null object \n",
- " 2 kind_name 2015 non-null object \n",
- " 3 parent_id 687 non-null float64\n",
- " 4 blurb 1968 non-null object \n",
- " 5 description 1986 non-null object \n",
- " 6 avatar_url 1655 non-null object \n",
- " 7 header_url 1322 non-null object \n",
- " 8 address_1 1987 non-null object \n",
- " 9 address_2 1985 non-null object \n",
- " 10 city 2015 non-null object \n",
- " 11 county 2015 non-null object \n",
- " 12 postal_code 2013 non-null object \n",
- " 13 country_code 2015 non-null object \n",
- " 14 latitude 1838 non-null float64\n",
- " 15 longitude 1838 non-null float64\n",
- " 16 address_notes 1986 non-null object \n",
- " 17 phone 1986 non-null object \n",
- " 18 email 1986 non-null object \n",
- " 19 capabilities 2015 non-null object \n",
- " 20 activity_status 1431 non-null object \n",
- " 21 links 2015 non-null object \n",
- "dtypes: float64(3), int64(1), object(18)\n",
- "memory usage: 212.5+ KB\n"
- ]
+ "data": {
+ "text/plain": [
+ "(2015, 22)"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
@@ -351,7 +266,7 @@
"f.write(line)\n",
"#f.close() \n",
"\n",
- "fablabs.info()"
+ "fablabs.shape"
]
},
{
@@ -367,71 +282,19 @@
"metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "<class 'pandas.core.frame.DataFrame'>\n",
- "Int64Index: 238 entries, 0 to 237\n",
- "Data columns (total 49 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 Your fullname 238 non-null object \n",
- " 4 The name of your fab lab 238 non-null object \n",
- " 5 Country of your fab lab 237 non-null object \n",
- " 6 URL of your fab lab page on www.fablabs.io 238 non-null object \n",
- " 7 SDG 1 9 non-null object \n",
- " 8 SDG 2 13 non-null object \n",
- " 9 SDG 3 26 non-null object \n",
- " 10 SDG 4 190 non-null object \n",
- " 11 SDG 5 75 non-null object \n",
- " 12 SDG 6 14 non-null object \n",
- " 13 SDG 7 33 non-null object \n",
- " 14 SDG 8 68 non-null object \n",
- " 15 SDG 9 156 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 238 non-null object \n",
- " 25 status 238 non-null object \n",
- " 26 check 221 non-null object \n",
- " 27 id 225 non-null float64\n",
- " 28 name 225 non-null object \n",
- " 29 kind_name 225 non-null object \n",
- " 30 parent_id 75 non-null float64\n",
- " 31 blurb 224 non-null object \n",
- " 32 description 224 non-null object \n",
- " 33 avatar_url 193 non-null object \n",
- " 34 header_url 171 non-null object \n",
- " 35 address_1 224 non-null object \n",
- " 36 address_2 224 non-null object \n",
- " 37 city 225 non-null object \n",
- " 38 county 225 non-null object \n",
- " 39 postal_code 225 non-null object \n",
- " 40 country_code 225 non-null object \n",
- " 41 latitude 217 non-null float64\n",
- " 42 longitude 217 non-null float64\n",
- " 43 address_notes 224 non-null object \n",
- " 44 phone 224 non-null object \n",
- " 45 email 224 non-null object \n",
- " 46 capabilities 225 non-null object \n",
- " 47 activity_status 206 non-null object \n",
- " 48 links 225 non-null object \n",
- "dtypes: float64(4), object(45)\n",
- "memory usage: 51.1+ KB\n"
- ]
+ "data": {
+ "text/plain": [
+ "(238, 49)"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
"profiles = pd.merge(profiles, fablabs, how=\"left\", on=\"slug\")\n",
- "profiles.info()"
+ "profiles.shape"
]
},
{
diff --git a/local-workshop-sources/sdg icon translator.xlsx b/local-workshop-sources/sdg icon translator.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..73fb769774f18fc186ef0bb87f21cc136d77fdf6
Binary files /dev/null and b/local-workshop-sources/sdg icon translator.xlsx differ