04-datapasta-example #4
Comments
tibble::tribble(
~state, ~urbanindex,
"Alabama", 9.605935,
"Alaska", 8.735964,
"American Samoa", 11.08593,
"Arizona", 11.29971,
"Arkansas", 9.259444,
"California", 12.19028,
"Colorado", 11.15445,
"Connecticut", 11.40968,
"Delaware", 11.00999,
"District of Columbia", 13.44057,
"Florida", 11.46484,
"Georgia", 10.55233,
"Guam", 11.08593,
"Hawaii", 11.08621,
"Idaho", 9.593634,
"Illinois", 11.62372,
"Indiana", 10.4105,
"Iowa", 9.593525,
"Kansas", 10.12044,
"Kentucky", 9.789536,
"Louisiana", 10.17518,
"Maine", 9.037091,
"Maryland", 11.71105,
"Massachusetts", 11.83973,
"Michigan", 10.80559,
"Minnesota", 10.45684,
"Mississippi", 8.910859,
"Missouri", 10.20212,
"Montana", 8.470226,
"Nebraska", 10.19912,
"Nevada", 11.76972,
"New Hampshire", 9.917139,
"New Jersey", 12.23565,
"New Mexico", 9.896993,
"New York", 12.55857,
"North Carolina", 10.32481,
"North Dakota", 9.054678,
"Northern Marianas", 11.08593,
"Ohio", 10.87687,
"Oklahoma", 9.93928,
"Oregon", 10.71233,
"Pennsylvania", 11.14623,
"Puerto Rico", 11.57168,
"Rhode Island", 11.72124,
"South Carolina", 10.11142,
"South Dakota", 8.728642,
"Tennessee", 10.19729,
"Texas", 11.17488,
"Utah", 10.96281,
"Vermont", 8.843222,
"Virgin Islands", 11.08593,
"Virginia", 10.90625,
"Washington", 11.11933,
"West Virginia", 9.111112,
"Wisconsin", 10.19131,
"Wyoming", 8.256294
)
#> # A tibble: 56 × 2
#> state urbanindex
#> <chr> <dbl>
#> 1 Alabama 9.61
#> 2 Alaska 8.74
#> 3 American Samoa 11.1
#> 4 Arizona 11.3
#> 5 Arkansas 9.26
#> 6 California 12.2
#> 7 Colorado 11.2
#> 8 Connecticut 11.4
#> 9 Delaware 11.0
#> 10 District of Columbia 13.4
#> # … with 46 more rowsCreated on 2021-11-04 by the reprex package (v2.0.1) |
## Use the script below to generate a reproducible example
## using the reprex package. Use datapasta::dpasta() to create
## `urban` in the script rather than relying on the source
## CSV file. Once you generate it, post it on
## https://github.com/uc-cfss/reproducible-examples-and-git/issues/1
library(tidyverse)
library(here)
#> here() starts at C:/Users/Zihe Yan/Desktop/uc-cfss-reproducible-examples-and-git-d2c4ec3
# import data file
urban <- tibble::tribble(
~state, ~urbanindex,
"Alabama", 9.605935,
"Alaska", 8.735964,
"American Samoa", 11.08593,
"Arizona", 11.29971,
"Arkansas", 9.259444,
"California", 12.19028,
"Colorado", 11.15445,
"Connecticut", 11.40968,
"Delaware", 11.00999,
"District of Columbia", 13.44057,
"Florida", 11.46484,
"Georgia", 10.55233,
"Guam", 11.08593,
"Hawaii", 11.08621,
"Idaho", 9.593634,
"Illinois", 11.62372,
"Indiana", 10.4105,
"Iowa", 9.593525,
"Kansas", 10.12044,
"Kentucky", 9.789536,
"Louisiana", 10.17518,
"Maine", 9.037091,
"Maryland", 11.71105,
"Massachusetts", 11.83973,
"Michigan", 10.80559,
"Minnesota", 10.45684,
"Mississippi", 8.910859,
"Missouri", 10.20212,
"Montana", 8.470226,
"Nebraska", 10.19912,
"Nevada", 11.76972,
"New Hampshire", 9.917139,
"New Jersey", 12.23565,
"New Mexico", 9.896993,
"New York", 12.55857,
"North Carolina", 10.32481,
"North Dakota", 9.054678,
"Northern Marianas", 11.08593,
"Ohio", 10.87687,
"Oklahoma", 9.93928,
"Oregon", 10.71233,
"Pennsylvania", 11.14623,
"Puerto Rico", 11.57168,
"Rhode Island", 11.72124,
"South Carolina", 10.11142,
"South Dakota", 8.728642,
"Tennessee", 10.19729,
"Texas", 11.17488,
"Utah", 10.96281,
"Vermont", 8.843222,
"Virgin Islands", 11.08593,
"Virginia", 10.90625,
"Washington", 11.11933,
"West Virginia", 9.111112,
"Wisconsin", 10.19131,
"Wyoming", 8.256294
)
# how do I reorder the bars from largest to smallest?
ggplot(data = urban, mapping = aes(x = state, y = urbanindex)) +
geom_col() +
coord_flip()Created on 2021-11-04 by the reprex package (v2.0.1) |
library(tidyverse)
library(here)
#> here() starts at /Users/Doublem/Desktop/uc-cfss-reproducible-examples-and-git-d2c4ec3
# import data file
urban <- tibble::tribble(
~state, ~urbanindex,
"Alabama", 9.605935,
"Alaska", 8.735964,
"American Samoa", 11.08593,
"Arizona", 11.29971,
"Arkansas", 9.259444,
"California", 12.19028
)
# how do I reorder the bars from largest to smallest?
ggplot(data = urban, mapping = aes(x = state, y = urbanindex)) +
geom_col() +
coord_flip()Created on 2021-11-04 by the reprex package (v2.0.1) |
## Use the script below to generate a reproducible example
## using the reprex package. Use datapasta::dpasta() to create
## `urban` in the script rather than relying on the source
## CSV file. Once you generate it, post it on
## https://github.com/uc-cfss/reproducible-examples-and-git/issues/1
library(tidyverse)
library(here)
#> here() starts at /private/var/folders/ql/tf921jnx50j8v8yx4c5d9yn80000gp/T/Rtmpr56xUI/reprex-1385a5eca81e0-gem-drake
# import data file
urban <- tibble::tribble(
~state, ~urbanindex,
"Alabama", 9.605935,
"Alaska", 8.735964,
"American Samoa", 11.08593,
"Arizona", 11.29971,
"Arkansas", 9.259444
)
# how do I reorder the bars from largest to smallest?
ggplot(data = urban, mapping = aes(x = state, y = urbanindex)) +
geom_col() +
coord_flip()Created on 2021-11-04 by the reprex package (v2.0.1) |
## Use the script below to generate a reproducible example
## using the reprex package. Use datapasta::dpasta() to create
## `urban` in the script rather than relying on the source
## CSV file. Once you generate it, post it on
## https://github.com/uc-cfss/reproducible-examples-and-git/issues/4
library(tidyverse)
library(here)
#> here() starts at /tmp/RtmpFepajf/reprex-2a9e56122a66bf-awful-dog
# import data file
dpasta(input = urban)
#> Error in dpasta(input = urban): could not find function "dpasta"
tibble::tribble(
~state, ~urbanindex,
"Alabama", 9.605935,
"Alaska", 8.735964,
"American Samoa", 11.08593,
"Arizona", 11.29971,
"Arkansas", 9.259444,
"California", 12.19028,
"Colorado", 11.15445,
"Connecticut", 11.40968,
"Delaware", 11.00999,
"District of Columbia", 13.44057,
"Florida", 11.46484,
"Georgia", 10.55233,
"Guam", 11.08593,
"Hawaii", 11.08621,
"Idaho", 9.593634,
"Illinois", 11.62372,
"Indiana", 10.4105,
"Iowa", 9.593525,
"Kansas", 10.12044,
"Kentucky", 9.789536,
"Louisiana", 10.17518,
"Maine", 9.037091,
"Maryland", 11.71105,
"Massachusetts", 11.83973,
"Michigan", 10.80559,
"Minnesota", 10.45684,
"Mississippi", 8.910859,
"Missouri", 10.20212,
"Montana", 8.470226,
"Nebraska", 10.19912,
"Nevada", 11.76972,
"New Hampshire", 9.917139,
"New Jersey", 12.23565,
"New Mexico", 9.896993,
"New York", 12.55857,
"North Carolina", 10.32481,
"North Dakota", 9.054678,
"Northern Marianas", 11.08593,
"Ohio", 10.87687,
"Oklahoma", 9.93928,
"Oregon", 10.71233,
"Pennsylvania", 11.14623,
"Puerto Rico", 11.57168,
"Rhode Island", 11.72124,
"South Carolina", 10.11142,
"South Dakota", 8.728642,
"Tennessee", 10.19729,
"Texas", 11.17488,
"Utah", 10.96281,
"Vermont", 8.843222,
"Virgin Islands", 11.08593,
"Virginia", 10.90625,
"Washington", 11.11933,
"West Virginia", 9.111112,
"Wisconsin", 10.19131,
"Wyoming", 8.256294
)
#> # A tibble: 56 × 2
#> state urbanindex
#> <chr> <dbl>
#> 1 Alabama 9.61
#> 2 Alaska 8.74
#> 3 American Samoa 11.1
#> 4 Arizona 11.3
#> 5 Arkansas 9.26
#> 6 California 12.2
#> 7 Colorado 11.2
#> 8 Connecticut 11.4
#> 9 Delaware 11.0
#> 10 District of Columbia 13.4
#> # … with 46 more rows
<sup>Created on 2021-11-04 by the [reprex package](https://reprex.tidyverse.org) (v2.0.1)</sup> |
## Use the script below to generate a reproducible example
## using the reprex package. Use datapasta::dpasta() to create
## `urban` in the script rather than relying on the source
## CSV file. Once you generate it, post it on
## https://github.com/uc-cfss/reproducible-examples-and-git/issues/1
library(tidyverse)
library(here)
#> here() starts at C:/Users/Zihe Yan/Desktop/uc-cfss-reproducible-examples-and-git-d2c4ec3
# import data file
urban <- tibble::tribble(
~state, ~urbanindex,
"Alabama", 9.605935,
"Alaska", 8.735964,
"American Samoa", 11.08593,
"Arizona", 11.29971,
"Arkansas", 9.259444
)
# how do I reorder the bars from largest to smallest?
ggplot(data = urban, mapping = aes(x = state, y = urbanindex)) +
geom_col() +
coord_flip()Created on 2021-11-04 by the reprex package (v2.0.1) |
|
No user-supplied code found … so we’ve made some up. You’re welcome! fortunes::fortune()
#>
#> Just [use] MinGW like R [does], following the guides to the letter gets you
#> there like marked stones across a marsh. Leaving the path usually gets you at
#> best neck deep in the mire, alternatively just bubbles.
#> -- Roger Bivand (explaining what development environment should be used to
#> develop C on Windows (for R))
#> R-devel (January 2007)Created on 2021-11-04 by the reprex package (v2.0.1) |
## Use the script below to generate a reproducible example
## using the reprex package. Use datapasta::dpasta() to create
## `urban` in the script rather than relying on the source
## CSV file. Once you generate it, post it on
## https://github.com/uc-cfss/reproducible-examples-and-git/issues/1
library(tidyverse)
library(here)
#> here() starts at /Users/vancydai/Desktop/uc-cfss-reproducible-examples-and-git-d2c4ec3
# import data file
urban <- read_csv(here("data", "urbanization-state.csv"))
#> Rows: 56 Columns: 2
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (1): state
#> dbl (1): urbanindex
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
# how do I reorder the bars from largest to smallest?
ggplot(data = urban, mapping = aes(x = state, y = urbanindex)) +
geom_col() +
coord_flip()Created on 2021-11-04 by the reprex package (v2.0.1) |
|
|
library(tidyverse)
library(here)
#> here() starts at /tmp/Rtmp1Fs99K/reprex-21175d1c68d7ac-cheap-stoat
# import data file
urban <- tribb;e::tribble(
~state, ~urbanindex,
"Alabama", 9.605935,
"Alaska", 8.735964,
"American Samoa", 11.08593,
"Arizona", 11.29971,
"Arkansas", 9.259444,
"California", 12.19028,
"Colorado", 11.15445,
"Connecticut", 11.40968,
"Delaware", 11.00999,
"District of Columbia", 13.44057,
"Florida", 11.46484,
"Georgia", 10.55233,
"Guam", 11.08593,
"Hawaii", 11.08621,
"Idaho", 9.593634,
"Illinois", 11.62372,
"Indiana", 10.4105,
"Iowa", 9.593525,
"Kansas", 10.12044,
"Kentucky", 9.789536,
"Louisiana", 10.17518,
"Maine", 9.037091,
"Maryland", 11.71105,
"Massachusetts", 11.83973,
"Michigan", 10.80559,
"Minnesota", 10.45684,
"Mississippi", 8.910859,
"Missouri", 10.20212,
"Montana", 8.470226,
"Nebraska", 10.19912,
"Nevada", 11.76972,
"New Hampshire", 9.917139,
"New Jersey", 12.23565,
"New Mexico", 9.896993,
"New York", 12.55857,
"North Carolina", 10.32481,
"North Dakota", 9.054678,
"Northern Marianas", 11.08593,
"Ohio", 10.87687,
"Oklahoma", 9.93928,
"Oregon", 10.71233,
"Pennsylvania", 11.14623,
"Puerto Rico", 11.57168,
"Rhode Island", 11.72124,
"South Carolina", 10.11142,
"South Dakota", 8.728642,
"Tennessee", 10.19729,
"Texas", 11.17488,
"Utah", 10.96281,
"Vermont", 8.843222,
"Virgin Islands", 11.08593,
"Virginia", 10.90625,
"Washington", 11.11933,
"West Virginia", 9.111112,
"Wisconsin", 10.19131,
"Wyoming", 8.256294
)
#> Error in eval(expr, envir, enclos): object 'tribb' not found
#> Error in loadNamespace(x): there is no package called 'e'
# how do I reorder the bars from largest to smallest?
ggplot(data = urban, mapping = aes(x = state, y = urbanindex)) +
geom_col() +
coord_flip()
#> Error in ggplot(data = urban, mapping = aes(x = state, y = urbanindex)): object 'urban' not foundCreated on 2022-07-05 by the reprex package (v2.0.1) |
## Use the script below to generate a reproducible example
## using the reprex package. Use datapasta::dpasta() to create
## `urban` in the script rather than relying on the source
## CSV file. Once you generate it, post it on
## https://github.com/uc-cfss/reproducible-examples-and-git/issues/1
library(tidyverse)
library(here)
#> here() starts at /tmp/RtmpKZU2gS/reprex-21360e7b85e86c-used-aidi
# import data file
urban <- tibble::tribble(
~state, ~urbanindex,
"Alabama", 9.605935,
"Alaska", 8.735964,
"American Samoa", 11.08593,
"Arizona", 11.29971,
"Arkansas", 9.259444,
"California", 12.19028,
"Colorado", 11.15445,
"Connecticut", 11.40968,
"Delaware", 11.00999,
"District of Columbia", 13.44057,
"Florida", 11.46484,
"Georgia", 10.55233,
"Guam", 11.08593,
"Hawaii", 11.08621,
"Idaho", 9.593634,
"Illinois", 11.62372,
"Indiana", 10.4105,
"Iowa", 9.593525,
"Kansas", 10.12044,
"Kentucky", 9.789536,
"Louisiana", 10.17518,
"Maine", 9.037091,
"Maryland", 11.71105,
"Massachusetts", 11.83973,
"Michigan", 10.80559,
"Minnesota", 10.45684,
"Mississippi", 8.910859,
"Missouri", 10.20212,
"Montana", 8.470226,
"Nebraska", 10.19912,
"Nevada", 11.76972,
"New Hampshire", 9.917139,
"New Jersey", 12.23565,
"New Mexico", 9.896993,
"New York", 12.55857,
"North Carolina", 10.32481,
"North Dakota", 9.054678,
"Northern Marianas", 11.08593,
"Ohio", 10.87687,
"Oklahoma", 9.93928,
"Oregon", 10.71233,
"Pennsylvania", 11.14623,
"Puerto Rico", 11.57168,
"Rhode Island", 11.72124,
"South Carolina", 10.11142,
"South Dakota", 8.728642,
"Tennessee", 10.19729,
"Texas", 11.17488,
"Utah", 10.96281,
"Vermont", 8.843222,
"Virgin Islands", 11.08593,
"Virginia", 10.90625,
"Washington", 11.11933,
"West Virginia", 9.111112,
"Wisconsin", 10.19131,
"Wyoming", 8.256294
)
# how do I reorder the bars from largest to smallest?
ggplot(data = urban, mapping = aes(x = state, y = urbanindex)) +
geom_col() +
coord_flip()Created on 2022-07-05 by the reprex package (v2.0.1) |
## Use the script below to generate a reproducible example
## using the reprex package. Use datapasta::dpasta() to create
## `urban` in the script rather than relying on the source
## CSV file. Once you generate it, post it on
## https://github.com/uc-cfss/reproducible-examples-and-git/issues/1
library(tidyverse)
library(here)
#> here() starts at /tmp/RtmpKZU2gS/reprex-21360e795cb98c-goofy-degu
# import data file
urban <- tibble::tribble(
~state, ~urbanindex,
"Alabama", 9.605935,
"Alaska", 8.735964,
"American Samoa", 11.08593,
"Arizona", 11.29971,
"Arkansas", 9.259444
)
# how do I reorder the bars from largest to smallest?
ggplot(data = urban, mapping = aes(x = state, y = urbanindex)) +
geom_col() +
coord_flip()Created on 2022-07-05 by the reprex package (v2.0.1) |
library(tidyverse)
library(here)
#> here() starts at /tmp/RtmpHqtW6Z/reprex-2120d437336ac4-cilia-stag
# import data file
urban <-
tibble::tribble(
~state, ~urbanindex,
"Alabama", 9.605935,
"Alaska", 8.735964,
"American Samoa", 11.08593,
"Arizona", 11.29971,
"Arkansas", 9.259444
)
# how do I reorder the bars from largest to smallest?
ggplot(data = urban, mapping = aes(x = state, y = urbanindex)) +
geom_col() +
coord_flip()Created on 2022-07-05 by the reprex package (v2.0.1) |
## Use the script below to generate a reproducible example
## using the reprex package. Use datapasta::dpasta() to create
## `urban` in the script rather than relying on the source
## CSV file. Once you generate it, post it on
## https://github.com/uc-cfss/reproducible-examples-and-git/issues/1
library(tidyverse)
library(here)
#> here() starts at /tmp/RtmpJVNLQX/reprex-2145674da291b0-brave-mara
# import data file
urban <- tibble::tribble(
~state, ~urbanindex,
"Alabama", 9.605935,
"Alaska", 8.735964,
"American Samoa", 11.08593,
"Arizona", 11.29971,
"Arkansas", 9.259444
)
# how do I reorder the bars from largest to smallest?
ggplot(data = urban, mapping = aes(x = state, y = urbanindex)) +
geom_col() +
coord_flip()Created on 2022-07-05 by the reprex package (v2.0.1) Session infosessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.1.1 (2021-08-10)
#> os Red Hat Enterprise Linux 8.6 (Ootpa)
#> system x86_64, linux-gnu
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz America/Chicago
#> date 2022-07-05
#> pandoc 2.17.1.1 @ /usr/lib/rstudio-server/bin/quarto/bin/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> assertthat 0.2.1 2019-03-21 [2] CRAN (R 4.1.1)
#> backports 1.4.1 2021-12-13 [2] CRAN (R 4.1.1)
#> broom 0.8.0 2022-04-13 [2] CRAN (R 4.1.1)
#> cellranger 1.1.0 2016-07-27 [2] CRAN (R 4.1.1)
#> cli 3.3.0 2022-04-25 [2] CRAN (R 4.1.1)
#> colorspace 2.0-3 2022-02-21 [2] CRAN (R 4.1.1)
#> crayon 1.5.1 2022-03-26 [2] CRAN (R 4.1.1)
#> curl 4.3.2 2021-06-23 [2] CRAN (R 4.1.1)
#> DBI 1.1.2 2021-12-20 [2] CRAN (R 4.1.1)
#> dbplyr 2.1.1 2021-04-06 [2] CRAN (R 4.1.1)
#> digest 0.6.29 2021-12-01 [2] CRAN (R 4.1.1)
#> dplyr * 1.0.9 2022-04-28 [2] CRAN (R 4.1.1)
#> ellipsis 0.3.2 2021-04-29 [2] CRAN (R 4.1.1)
#> evaluate 0.15 2022-02-18 [2] CRAN (R 4.1.1)
#> fansi 1.0.3 2022-03-24 [2] CRAN (R 4.1.1)
#> farver 2.1.0 2021-02-28 [2] CRAN (R 4.1.1)
#> fastmap 1.1.0 2021-01-25 [2] CRAN (R 4.1.1)
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#> fs 1.5.2 2021-12-08 [2] CRAN (R 4.1.1)
#> generics 0.1.2 2022-01-31 [2] CRAN (R 4.1.1)
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#> highr 0.9 2021-04-16 [2] CRAN (R 4.1.1)
#> hms 1.1.1 2021-09-26 [2] CRAN (R 4.1.1)
#> htmltools 0.5.2 2021-08-25 [2] CRAN (R 4.1.1)
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#> pkgconfig 2.0.3 2019-09-22 [2] CRAN (R 4.1.1)
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#> R.oo 1.24.0 2020-08-26 [2] CRAN (R 4.1.1)
#> R.utils 2.11.0 2021-09-26 [2] CRAN (R 4.1.1)
#> R6 2.5.1 2021-08-19 [2] CRAN (R 4.1.1)
#> readr * 2.1.2 2022-01-30 [2] CRAN (R 4.1.1)
#> readxl 1.4.0 2022-03-28 [2] CRAN (R 4.1.1)
#> reprex 2.0.1 2021-08-05 [1] CRAN (R 4.1.1)
#> rlang 1.0.2 2022-03-04 [2] CRAN (R 4.1.1)
#> rmarkdown 2.14 2022-04-25 [2] CRAN (R 4.1.1)
#> rprojroot 2.0.3 2022-04-02 [2] CRAN (R 4.1.1)
#> rstudioapi 0.13 2020-11-12 [2] CRAN (R 4.1.1)
#> rvest 1.0.2 2021-10-16 [2] CRAN (R 4.1.1)
#> scales 1.2.0 2022-04-13 [2] CRAN (R 4.1.1)
#> sessioninfo 1.2.2 2021-12-06 [2] CRAN (R 4.1.1)
#> stringi 1.7.6 2021-11-29 [2] CRAN (R 4.1.1)
#> stringr * 1.4.0 2019-02-10 [2] CRAN (R 4.1.1)
#> styler 1.7.0 2022-03-13 [2] CRAN (R 4.1.1)
#> tibble * 3.1.7 2022-05-03 [2] CRAN (R 4.1.1)
#> tidyr * 1.2.0 2022-02-01 [2] CRAN (R 4.1.1)
#> tidyselect 1.1.2 2022-02-21 [2] CRAN (R 4.1.1)
#> tidyverse * 1.3.1 2021-04-15 [2] CRAN (R 4.1.1)
#> tzdb 0.3.0 2022-03-28 [2] CRAN (R 4.1.1)
#> utf8 1.2.2 2021-07-24 [2] CRAN (R 4.1.1)
#> vctrs 0.4.1 2022-04-13 [2] CRAN (R 4.1.1)
#> withr 2.5.0 2022-03-03 [2] CRAN (R 4.1.1)
#> xfun 0.31 2022-05-10 [2] CRAN (R 4.1.1)
#> xml2 1.3.3 2021-11-30 [2] CRAN (R 4.1.1)
#> yaml 2.3.5 2022-02-21 [2] CRAN (R 4.1.1)
#>
#> [1] /home/anjanachandran/R/x86_64-pc-linux-gnu-library/4.1
#> [2] /opt/R/4.1.1/lib/R/library
#>
#> ────────────────────────────────────────────────────────────────────────────── |
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