This is an from Seattle’s AirBNB market. Brought to you by Maddy and Rachel. The data is available from this link https://myxavier-my.sharepoint.com/:x:/g/personal/largentm_xavier_edu/EfFRsW9hwq5Bg732pnvA2sABdlJGZY5AWGOVEv5o-X7pAA?download=1.
We are loading the data directly from oneDrive using read_csv()
seattle_homes <- read_csv("https://myxavier-my.sharepoint.com/:x:/g/personal/largentm_xavier_edu/EfFRsW9hwq5Bg732pnvA2sABdlJGZY5AWGOVEv5o-X7pAA?download=1")
## Warning: Missing column names filled in: 'X1' [1]
## Parsed with column specification:
## cols(
## X1 = col_double(),
## room_id = col_double(),
## host_id = col_double(),
## room_type = col_character(),
## address = col_character(),
## reviews = col_double(),
## overall_satisfaction = col_double(),
## accommodates = col_double(),
## bedrooms = col_double(),
## bathrooms = col_double(),
## price = col_double(),
## last_modified = col_time(format = ""),
## latitude = col_double(),
## longitude = col_double(),
## location = col_character(),
## name = col_character(),
## currency = col_character(),
## rate_type = col_character()
## )
## Warning: 3957 parsing failures.
## row col expected actual file
## 1 last_modified valid date 46:14.7 'https://myxavier-my.sharepoint.com/:x:/g/personal/largentm_xavier_edu/EfFRsW9hwq5Bg732pnvA2sABdlJGZY5AWGOVEv5o-X7pAA?download=1'
## 7 last_modified valid date 45:03.9 'https://myxavier-my.sharepoint.com/:x:/g/personal/largentm_xavier_edu/EfFRsW9hwq5Bg732pnvA2sABdlJGZY5AWGOVEv5o-X7pAA?download=1'
## 16 last_modified valid date 59:19.4 'https://myxavier-my.sharepoint.com/:x:/g/personal/largentm_xavier_edu/EfFRsW9hwq5Bg732pnvA2sABdlJGZY5AWGOVEv5o-X7pAA?download=1'
## 20 last_modified valid date 56:32.6 'https://myxavier-my.sharepoint.com/:x:/g/personal/largentm_xavier_edu/EfFRsW9hwq5Bg732pnvA2sABdlJGZY5AWGOVEv5o-X7pAA?download=1'
## 21 last_modified valid date 58:36.5 'https://myxavier-my.sharepoint.com/:x:/g/personal/largentm_xavier_edu/EfFRsW9hwq5Bg732pnvA2sABdlJGZY5AWGOVEv5o-X7pAA?download=1'
## ... ............. .......... ....... .................................................................................................................................
## See problems(...) for more details.
These are some summary statistics for the variables I think are most important
seattle_homes %>%
select(reviews,overall_satisfaction,bedrooms,bathrooms,price,rate_type) %>%
summary()
## reviews overall_satisfaction bedrooms bathrooms
## Min. : 0.00 Min. :2.500 Min. :0.000 Min. :0.000
## 1st Qu.: 4.00 1st Qu.:4.500 1st Qu.:1.000 1st Qu.:1.000
## Median : 21.00 Median :5.000 Median :1.000 Median :1.000
## Mean : 47.66 Mean :4.841 Mean :1.385 Mean :1.307
## 3rd Qu.: 64.00 3rd Qu.:5.000 3rd Qu.:2.000 3rd Qu.:1.500
## Max. :687.00 Max. :5.000 Max. :8.000 Max. :8.000
## NA's :1473 NA's :2
## price rate_type
## Min. : 15 Length:7576
## 1st Qu.: 65 Class :character
## Median : 88 Mode :character
## Mean : 113
## 3rd Qu.: 125
## Max. :5900
##
We were interested to see if there is a significant difference in the average AirBnB price between Seattle, Redmond, and Bellevue