Error messages in ggplot and label issue

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Andy Donaldson

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Dec 8, 2017, 3:03:50 PM12/8/17
to ggplot2

Here are the diff code snippets and I attach my dataset which has a date. I want the X Axis to have monthly labels only 



# this generates chart 1

 

ggplot(data = gaDataExt, mapping = aes(x = date, y = users),group = NULL ) +

  geom_bar(stat = "identity") +

  #scale_x_date(date_labels = "%Y-%m") +

  facet_grid(deviceCategory ~ .) +

  theme_bw() +

  labs(title = "Deakin University (http://www.deakin.edu.au/) users by Device Category", x="Date", y="users") +

  ylim(0,NA)

 

#one suggestion produces chart2

  gaDataExt %>%

  mutate(date = ymd(date),

  month = month(date)) %>%

  group_by(deviceCategory) %>%

  summarise_all(funs(mean)) %>%

  ggplot(aes(month, users)) + geom_point() +

  facet_grid(deviceCategory~.) +

  theme_bw() +

  labs(title = "Deakin University (http://www.deakin.edu.au/) users by Device Category", x="Date", y="users") +

  ylim(0,NA)

 

# gives error message:Error in seq.int(0, to0 - from, by) : 'to' cannot be NA, NaN or infinite

  #In addition: Warning message:

  #All formats failed to parse. No formats found.

 

  gaDataExt %>% mutate(date = ymd(date)) %>%

  ggplot(aes(date, users)) + geom_point() +

  facet_grid(deviceCategory~.) +

  theme_bw() +

  labs(title = "Deakin University (http://www.deakin.edu.au/) users by Device Category", x="Date", y="users") +

  ylim(0,10)

 

 

# this gives an error message … Error in `[[.default`(object, name, exact = TRUE) : 

 # subscript out of bounds

 

  ggplot(data = gaDataExt, mapping = aes(x = lubridate::floor_date(date, "month"), y = pageviews, group = 1, color = deviceCategory) ) +

  geom_col() + theme_bw() +

  labs(x = "date", y = "Pageviews by Device Category") +

  labs(title = "Andy D) Users by Device Category", x="Date", y="Total Page views") +

  ylim(0,NA)

 

I attach my r script and dataset iof you could take a look and tellme what im doing wrong id me very appreciative !

 

Cheers

AD


 

 

Virus-www.avg.com

ggplot.R
gaData_PageViews.csv
chart2.jpeg
chart1.jpeg
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