——————————————– ANALISIS DE OFERTA ———————————————–

## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.
## Warning: Use of `tbl_plot$frequency` is discouraged. Use `frequency` instead.
## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.

## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.
## Warning: Use of `tbl_plot$frequency` is discouraged. Use `frequency` instead.
## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.

## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.
## Warning: Use of `tbl_plot$frequency` is discouraged. Use `frequency` instead.
## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.

## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.
## Warning: Use of `tbl_plot$frequency` is discouraged. Use `frequency` instead.
## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.

## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.
## Warning: Use of `tbl_plot$frequency` is discouraged. Use `frequency` instead.
## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.

## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.
## Warning: Use of `tbl_plot$frequency` is discouraged. Use `frequency` instead.
## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.

## Warning: Removed 29 rows containing non-finite values (stat_boxplot).
## Warning: Removed 29 rows containing non-finite values (stat_summary).

## Warning: Ignoring unknown parameters: binwidth, bins, pad

## `geom_smooth()` using method = 'loess' and formula 'y ~ x'

## [1] -0.8295412
## `geom_smooth()` using method = 'loess' and formula 'y ~ x'

## [1] 4.947943
## 
## Call:
## lm(formula = log(nprice) ~ tv + wifi + parking + kitchen + heating + 
##     pool + beachfront, data = airbnb1)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -3.2057 -0.4285 -0.0318  0.3866  4.6961 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  4.19984    0.03152 133.245  < 2e-16 ***
## tv           0.28374    0.02085  13.610  < 2e-16 ***
## wifi         0.04551    0.02181   2.087 0.036909 *  
## parking     -0.04005    0.01281  -3.126 0.001774 ** 
## kitchen      0.09121    0.02410   3.784 0.000155 ***
## heating      0.05671    0.01096   5.176 2.29e-07 ***
## pool         0.60256    0.01153  52.268  < 2e-16 ***
## beachfront   0.16341    0.01824   8.960  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.6805 on 17108 degrees of freedom
## Multiple R-squared:  0.1701, Adjusted R-squared:  0.1697 
## F-statistic: 500.8 on 7 and 17108 DF,  p-value: < 2.2e-16
## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.
## Warning: Use of `tbl_plot$frequency` is discouraged. Use `frequency` instead.
## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.

## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.
## Warning: Use of `tbl_plot$frequency` is discouraged. Use `frequency` instead.
## Warning: Use of `tbl_plot$category` is discouraged. Use `category` instead.

## Warning in tm_map.SimpleCorpus(corpus1, content_transformer(tolower)):
## transformation drops documents
## Warning in tm_map.SimpleCorpus(corpus1, removePunctuation): transformation drops
## documents
## Warning in tm_map.SimpleCorpus(corpus1, stripWhitespace): transformation drops
## documents
## Warning in tm_map.SimpleCorpus(corpus1, removeWords, stopwords("english")):
## transformation drops documents
## Warning in tm_map.SimpleCorpus(corpus1, removeWords, stopwords("spanish")):
## transformation drops documents
## Warning in brewer.pal(9, "Dark2"): n too large, allowed maximum for palette Dark2 is 8
## Returning the palette you asked for with that many colors

——————————————– ANALISIS DE DEMANDA ———————————————–

## Warning: Ignoring unknown parameters: binwidth, bins, pad

## Warning in tm_map.SimpleCorpus(corpus4, content_transformer(tolower)):
## transformation drops documents
## Warning in tm_map.SimpleCorpus(corpus4, removePunctuation): transformation drops
## documents
## Warning in tm_map.SimpleCorpus(corpus4, stripWhitespace): transformation drops
## documents
## Warning in tm_map.SimpleCorpus(corpus4, removeWords, stopwords("english")):
## transformation drops documents
## Warning in tm_map.SimpleCorpus(corpus4, removeWords, stopwords("spanish")):
## transformation drops documents
## Warning in tm_map.SimpleCorpus(corpus4, removeWords, stopwords("french")):
## transformation drops documents
## Warning in brewer.pal(9, "Dark2"): n too large, allowed maximum for palette Dark2 is 8
## Returning the palette you asked for with that many colors

## Parsed with column specification:
## cols(
##   listing_id = col_double(),
##   date = col_date(format = ""),
##   available = col_logical(),
##   price = col_character(),
##   adjusted_price = col_character(),
##   minimum_nights = col_double(),
##   maximum_nights = col_double()
## )
## Parsed with column specification:
## cols(
##   listing_id = col_double(),
##   date = col_date(format = ""),
##   available = col_logical(),
##   price = col_character(),
##   adjusted_price = col_character(),
##   minimum_nights = col_double(),
##   maximum_nights = col_double()
## )
## [1] 21566
## `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#————————– IMPACTO DE COVID-19 —————————–

## `geom_smooth()` using method = 'loess' and formula 'y ~ x'
## Warning: Removed 9 rows containing non-finite values (stat_smooth).
## Warning: Removed 1 row(s) containing missing values (geom_path).
## Warning: Removed 9 rows containing missing values (geom_point).