Below are the packages required to this Report.
library(readr)
library(tidyr)
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(Hmisc)
## Loading required package: lattice
## Loading required package: survival
## Loading required package: Formula
## Loading required package: ggplot2
##
## Attaching package: 'Hmisc'
## The following objects are masked from 'package:dplyr':
##
## src, summarize
## The following objects are masked from 'package:base':
##
## format.pval, units
library(lubridate)
##
## Attaching package: 'lubridate'
## The following object is masked from 'package:base':
##
## date
library(ggplot2)
library(forecast)
library(mlr)
## Loading required package: ParamHelpers
##
## Attaching package: 'mlr'
## The following object is masked from 'package:Hmisc':
##
## impute
Meetup is a long range informal communication site that plans to unites individuals to do, investigate, instruct and get familiar with the things that assist them to come alive.
Meetup allows members to find and join groups unified by a common interest. As of 2017, there are 32 million users with 280 thousand groups available across 182 countries.
A member needs to be able to identify groups and activities which interest them the most to be able to use this platform to network effectively.
Steps taken to preprocess the data are as below
We have taken data of 2 tables from meetup database for this report which is available in .CSV format.
Data is filtered to include only 3 cities information (New York, San Francisco, Chicago).
This dataset if publically available at https://www.kaggle.com/sirpunch/meetups-data-from-meetupcom/download
events_description <- read.csv("C:/Users/jeeva/Downloads/meetups-data-from-meetupcom/events.csv")
groups_description <- read_csv("C:/Users/jeeva/Downloads/meetups-data-from-meetupcom/groups.csv")
## Parsed with column specification:
## cols(
## .default = col_character(),
## group_id = col_double(),
## category_id = col_double(),
## city_id = col_double(),
## group_photo.photo_id = col_double(),
## lat = col_double(),
## lon = col_double(),
## members = col_double(),
## organizer.member_id = col_double(),
## organizer.photo.photo_id = col_double(),
## rating = col_double(),
## utc_offset = col_double()
## )
## See spec(...) for full column specifications.
events_description
groups_description