Update membership stats

pipelines/true-north/clean_members_list.ipynb

@@ -32,7 +32,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "data = pd.read_excel(os.path.join(WDIR, 'true-north/hubspot-crm-exports-2-true-north-open-innovatio-2024-08-08.xlsx'))\n",
+    "data = pd.read_excel(os.path.join(WDIR, 'true-north/Updated True North data September 2024 .xlsx'))\n",
     "# additional_members = pd.read_excel(os.path.join(WDIR, 'true-north/true north_additional_members_list_19_06_24.xlsx'))"
    ]
   },
@@ -88,7 +88,10 @@
     {
      "data": {
       "text/plain": [
-       "['Create Date',\n",
+       "['Record ID',\n",
+       " 'First Name',\n",
+       " 'Last Name',\n",
+       " 'Create Date',\n",
        " 'Last Activity Date',\n",
        " 'How many people work in your organisation?',\n",
        " 'What sector(s) does your organisation operate in? [Other]',\n",
@@ -108,8 +111,6 @@
        " 'City',\n",
        " 'Industry',\n",
        " 'associated Company Domain (Contact Level)',\n",
-       " 'First Name',\n",
-       " 'Last Name',\n",
        " 'last_updated']"
       ]
      },
@@ -230,8 +231,8 @@
     {
      "data": {
       "text/plain": [
-       "array(['1 - 10', '51 - 100', '1,000+', '11 - 50', '251 - 500',\n",
-       "       '501 - 1,000', '101 - 250', '1 - 10; 11 - 50', nan], dtype=object)"
+       "array(['1 - 10', '11 - 50', '1,000+', '251 - 500', '501 - 1,000',\n",
+       "       '101 - 250', '51 - 100', '1 - 10; 11 - 50', nan], dtype=object)"
       ]
      },
      "execution_count": 12,
@@ -290,7 +291,7 @@
     {
      "data": {
       "text/plain": [
-       "array(['0-9', '50-249', '1000+', '10-49', '250+', nan], dtype=object)"
+       "array(['0-9', '10-49', '1000+', '250+', '50-249', nan], dtype=object)"
       ]
      },
      "execution_count": 14,
@@ -456,7 +457,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.12.6"
   }
  },
  "nbformat": 4,

src/overview/membership/_data/cumsum.csv

@@ -1,17 +1,18 @@
 year,month_formatted,start_of_month,individuals,orgs
-2023.33,2023-05,2023-05-01,76,71
-2023.41,2023-06,2023-06-01,79,73
-2023.49,2023-07,2023-07-01,114,106
-2023.58,2023-08,2023-08-01,132,122
-2023.66,2023-09,2023-09-01,166,154
-2023.75,2023-10,2023-10-01,218,203
-2023.83,2023-11,2023-11-01,224,206
-2023.91,2023-12,2023-12-01,230,211
-2024.0,2024-01,2024-01-01,241,222
-2024.08,2024-02,2024-02-01,245,226
-2024.16,2024-03,2024-03-01,254,235
-2024.25,2024-04,2024-04-01,257,238
-2024.33,2024-05,2024-05-01,267,247
-2024.41,2024-06,2024-06-01,287,265
-2024.5,2024-07,2024-07-01,299,274
-2024.58,2024-08,2024-08-01,317,291
+2023.33,2023-05,2023-05-01,84,80
+2023.41,2023-06,2023-06-01,87,83
+2023.49,2023-07,2023-07-01,122,116
+2023.58,2023-08,2023-08-01,141,133
+2023.66,2023-09,2023-09-01,175,164
+2023.75,2023-10,2023-10-01,224,212
+2023.83,2023-11,2023-11-01,229,215
+2023.91,2023-12,2023-12-01,235,220
+2024.0,2024-01,2024-01-01,246,231
+2024.08,2024-02,2024-02-01,250,235
+2024.16,2024-03,2024-03-01,257,242
+2024.25,2024-04,2024-04-01,261,246
+2024.33,2024-05,2024-05-01,271,255
+2024.41,2024-06,2024-06-01,292,274
+2024.5,2024-07,2024-07-01,304,284
+2024.58,2024-08,2024-08-01,311,291
+2024.67,2024-09,2024-09-01,320,300

src/overview/membership/_data/sector_word_counts.csv

@@ -1,23 +1,24 @@
 name,count
-services,49
-professional,41
-finance,30
+services,56
+professional,48
+technology,34
+finance,31
 education,28
-technology,27
-construction,25
-insurance,23
-manufacturing,23
-development,20
-marketing,20
-business,20
-communications,19
-admin,19
-engineering,19
-notforprofit,17
-support,17
-software,16
-real estate,14
-recruitment,12
+business,26
+construction,26
+admin,25
+insurance,25
+manufacturing,24
+development,24
+support,23
+marketing,23
+communications,22
+notforprofit,22
+engineering,21
+software,20
+real estate,16
+recruitment,15
+legal,14
 health,11
 social,11
-legal,10
+information,10

src/overview/membership/_data/top_locations.csv

@@ -1,6 +1,6 @@
 location,count
-Greater Manchester,103
+Greater Manchester,106
 West Yorkshire,69
+Lancashire,54
 Merseyside,53
-Lancashire,46
 Cheshire,33

src/overview/membership/_data/true_north_members_list.csv

@@ -1,10 +1,10 @@
 name,value,footnote,post,url
-Total members,317,People,,/overview/membership
-Total companies,290,Unique companies,,/overview/membership
-Membership increase,6.0,Since last month,%,/overview/membership
-Companies with 0-9 employees,34.5,Of members work in companies of this size,%,
+Total members,320,People,,/overview/membership
+Total companies,299,Unique companies,,/overview/membership
+Membership increase,2.9,Since last month,%,/overview/membership
+Companies with 0-9 employees,35.6,Of members work in companies of this size,%,
 Top industry,,Of members work in nan,%,
 Geographic reach,4,placeholder,,
 Advisory council,11,Members represent the network on the True North advisory council,,https://www.brabners.com/insights/true-north/true-north-advisory-council-launches
 Northern stars,5,Companies have been featured as Northern Stars,,/overview/northern-stars
-B Corps,13.9,Of member's organisations are B Corps or are joining,%,/themes/sustainable-growth/b-corporations
+B Corps,13.3,Of member's organisations are B Corps or are joining,%,/themes/sustainable-growth/b-corporations

src/overview/membership/_data/updated.yaml

@@ -1 +1 @@
-2024-08-09 09:50:33
+2024-09-18 09:50:37