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Update meetup data
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actions-user committed Dec 17, 2024
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16 changes: 8 additions & 8 deletions data/chapters_meetup.json
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"country_acronym": "vn",
"state": "",
"city": "Ha Noi",
"members": 113,
"members": 114,
"lat": 21.03,
"lon": 105.84,
"timezone": "Asia/Ho_Chi_Minh"
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"country_acronym": "id",
"state": "",
"city": "Bogor",
"members": 333,
"members": 334,
"lat": -6.58,
"lon": 106.79,
"timezone": "Asia/Jakarta"
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"country_acronym": "us",
"state": "PA",
"city": "Philadelphia",
"members": 2514,
"members": 2517,
"lat": 40.12,
"lon": -75.01,
"timezone": "America/New_York"
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"country_acronym": "mx",
"state": "",
"city": "México City",
"members": 2766,
"members": 2767,
"lat": 19.43,
"lon": -99.14,
"timezone": "America/Mexico_City"
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"country_acronym": "de",
"state": "",
"city": "Berlin",
"members": 710,
"members": 711,
"lat": 52.52,
"lon": 13.38,
"timezone": "Europe/Berlin"
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"country_acronym": "us",
"state": "NY",
"city": "New York",
"members": 3285,
"members": 3284,
"lat": 40.75,
"lon": -73.99,
"timezone": "America/New_York"
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"country_acronym": "au",
"state": "",
"city": "Sydney",
"members": 1039,
"members": 1040,
"lat": -33.87,
"lon": 151.21,
"timezone": "Australia/Sydney"
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"country_acronym": "ec",
"state": "",
"city": "Guayaquil",
"members": 1101,
"members": 1102,
"lat": -2.21,
"lon": -79.9,
"timezone": "America/Guayaquil"
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2 changes: 1 addition & 1 deletion data/events.json
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"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;115<\/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;118<\/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",
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2 changes: 1 addition & 1 deletion data/events_updated.json
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[
{
"date": "2024-12-17 00:33:23",
"date": "2024-12-17 12:18:17",
"n_events_past": 3943
}
]

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