Update meetup data

data/chapters_meetup.json

@@ -138,7 +138,7 @@
     "country_acronym": "gh",
     "state": "",
     "city": "Kumasi",
-    "members": 75,
+    "members": 76,
     "lat": 6.69,
     "lon": -1.63,
     "timezone": "Africa/Abidjan"
@@ -1194,7 +1194,7 @@
     "country_acronym": "co",
     "state": "",
     "city": "Medellín",
-    "members": 1150,
+    "members": 1151,
     "lat": 6.25,
     "lon": -75.59,
     "timezone": "America/Bogota"
@@ -1818,7 +1818,7 @@
     "country_acronym": "us",
     "state": "PA",
     "city": "Philadelphia",
-    "members": 2499,
+    "members": 2501,
     "lat": 40.12,
     "lon": -75.01,
     "timezone": "America/New_York"
@@ -1890,7 +1890,7 @@
     "country_acronym": "mx",
     "state": "",
     "city": "México City",
-    "members": 2765,
+    "members": 2766,
     "lat": 19.43,
     "lon": -99.14,
     "timezone": "America/Mexico_City"
@@ -2142,7 +2142,7 @@
     "country_acronym": "au",
     "state": "",
     "city": "Melbourne",
-    "members": 2531,
+    "members": 2532,
     "lat": -37.81,
     "lon": 144.96,
     "timezone": "Australia/Melbourne"

data/events.json

@@ -127,7 +127,7 @@
     "id": "304199663",
     "group_urlname": "rladies-philly",
     "title": "Lunch & Learn: An Introduction to Survival Analysis in R",
-    "body": "<h6 class='entry-title mt-2' style='font-size: 1.5em !important';>Lunch & Learn: An Introduction to Survival Analysis in R<\/h6><p><i class='fa fa-users'><\/i>&emsp;96<\/p><p class='text-truncate'>This talk will provide a general introduction to survival analysis in R. After introducing the concept of and need for survival analysis methods, we will first discuss how to format a dataset properly to conduct a survival analysis, including working with dates, calculating date differences, and coding events and censoring. Then, we will learn how to perform basic survival analyses in R including plotting Kaplan-Meier curves and fitting Cox regression models. We will discuss the proper ways to interpret the results, and some of the common ways survival analysis results are mis-interpreted.<\/p><center><a href='https://www.meetup.com/rladies-philly/events/304199663' target='_blank'><button class='btn btn-primary'>Event page<\/button><\/center><\/a>",
+    "body": "<h6 class='entry-title mt-2' style='font-size: 1.5em !important';>Lunch & Learn: An Introduction to Survival Analysis in R<\/h6><p><i class='fa fa-users'><\/i>&emsp;98<\/p><p class='text-truncate'>This talk will provide a general introduction to survival analysis in R. After introducing the concept of and need for survival analysis methods, we will first discuss how to format a dataset properly to conduct a survival analysis, including working with dates, calculating date differences, and coding events and censoring. Then, we will learn how to perform basic survival analyses in R including plotting Kaplan-Meier curves and fitting Cox regression models. We will discuss the proper ways to interpret the results, and some of the common ways survival analysis results are mis-interpreted.<\/p><center><a href='https://www.meetup.com/rladies-philly/events/304199663' target='_blank'><button class='btn btn-primary'>Event page<\/button><\/center><\/a>",
     "start": "2024-12-17 12:00:05",
     "end": "2024-12-17 13:00:05",
     "date": "2024-12-17",

data/events_updated.json

@@ -1,6 +1,6 @@
 [
   {
-    "date": "2024-12-12 00:35:03",
+    "date": "2024-12-12 12:14:18",
     "n_events_past": 3943
   }
 ]