Update meetup data

data/chapters_meetup.json

@@ -342,7 +342,7 @@
     "country_acronym": "it",
     "state": "RM",
     "city": "Roma",
-    "members": 1308,
+    "members": 1309,
     "lat": 41.9,
     "lon": 12.48,
     "timezone": "Europe/Rome"
@@ -378,7 +378,7 @@
     "country_acronym": "de",
     "state": "",
     "city": "Cologne",
-    "members": 333,
+    "members": 332,
     "lat": 50.94,
     "lon": 6.96,
     "timezone": "Europe/Berlin"
@@ -690,7 +690,7 @@
     "country_acronym": "in",
     "state": "",
     "city": "Bangalore",
-    "members": 384,
+    "members": 383,
     "lat": 12.97,
     "lon": 77.56,
     "timezone": "Asia/Kolkata"
@@ -1254,7 +1254,7 @@
     "country_acronym": "in",
     "state": "",
     "city": "Delhi",
-    "members": 421,
+    "members": 422,
     "lat": 28.67,
     "lon": 77.21,
     "timezone": "Asia/Kolkata"
@@ -1818,7 +1818,7 @@
     "country_acronym": "us",
     "state": "PA",
     "city": "Philadelphia",
-    "members": 2505,
+    "members": 2508,
     "lat": 40.12,
     "lon": -75.01,
     "timezone": "America/New_York"

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;104<\/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;107<\/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": "2024-12-14 00:36:47",
+    "date": "2024-12-14 12:16:04",
     "n_events_past": 3943
   }
 ]