annecool37

  # get the recommendation if the recommendation button is hit 
    museumInput = eventReactive(input$recommend_btn,{
        # get museum names and concatenate by ';'
        museum_names = ""
        for (m in input$selected_museum){
            museum_names = paste(museum_names, m, sep = ';')
        }
        # pass the selected museum names into python to compute consine similarity
        command_line = paste0('python get_sorted_suggestion.py "', museum_names, '"')
        system(command_line)

annecool37

# This section demonstrates:
# 1. How I got address of the museum
# 2. How I convert adress into latitude and longitude via Google API
# 3. The main code to scrape the data and save it into .csv

from bs4 import BeautifulSoup
import pandas as pd
import googlemaps

def get_address(museum_soup):

annecool37

## ~~~~~~~~~~~~~ ##
## Random Forest ##
## ~~~~~~~~~~~~~ ##
set.seed(8)
# subset training and testing datasets
train_idx = sample(1:nrow(rf_model_df), 8*nrow(rf_model_df)/10)
tree_train = rf_model_df[train_idx,]
tree_test = rf_model_df[-train_idx,]

# find the best mtry

annecool37

### Workflow Example:
### 1. Create master meetup soup
### 2. Convert all event url into beautiful soup objects
### 3. Extract number of participants for an event 

# 1. 
# Pass in the search result url listing events in that area 
# Click the "Show More" button and scroll down the page till a pre-specified time show up
# Convert the whole page into a Beautifulsoup object
def get_meet_up_soup(url, to_which_date):

annecool37

# This part of the code shows how I create the line chart in the "Trend" tab
# Packages used: dplyr, shiny, shinydashboard, googleVis
# Overview:
# 1. create reactive object to read input from the ui function
# 2. render chart
# line chart (time series) to see how attributes change over time for a particular country
coffee_over_time = reactive({
    # validate if user select the desired input 
    validate(
        need(input$checked != "", "Please check at least one variable in category"),