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differences for PR #45 
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‎Banco_errores.md‎

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@@ -83,8 +83,8 @@ attached base packages:
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[1] stats graphics grDevices utils datasets methods base
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loaded via a namespace (and not attached):
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[1] compiler_4.5.3 cli_3.6.5 tools_4.5.3 yaml_2.3.12 knitr_1.51
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[6] xfun_0.56 rlang_1.1.7 renv_1.2.2 evaluate_1.0.5
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[1] compiler_4.5.3 cli_3.6.6 tools_4.5.3 yaml_2.3.12 knitr_1.51
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[6] xfun_0.57 rlang_1.2.0 renv_1.2.2 evaluate_1.0.5
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```
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**Obtendrá una información similar a esta. En este caso la versión es 4.4.1**

‎Taller-R-RStudio.md‎

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``` output
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── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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✔ dplyr 1.1.4 ✔ readr 2.1.6
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✔ dplyr 1.2.1 ✔ readr 2.2.0
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✔ forcats 1.0.1 ✔ stringr 1.6.0
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✔ ggplot2 4.0.1 ✔ tibble 3.3.1
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✔ lubridate 1.9.4 ✔ tidyr 1.3.2
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✔ purrr 1.2.1
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✔ ggplot2 4.0.3 ✔ tibble 3.3.1
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✔ lubridate 1.9.5 ✔ tidyr 1.3.2
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✔ purrr 1.2.2
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── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
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✖ dplyr::filter() masks stats::filter()
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✖ dplyr::lag() masks stats::lag()

‎Visualizacion.md‎

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``` output
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── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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✔ dplyr 1.1.4 ✔ readr 2.1.6
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✔ dplyr 1.2.1 ✔ readr 2.2.0
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✔ forcats 1.0.1 ✔ stringr 1.6.0
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✔ lubridate 1.9.4 ✔ tibble 3.3.1
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✔ purrr 1.2.1 ✔ tidyr 1.3.2
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✔ lubridate 1.9.5 ✔ tibble 3.3.1
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✔ purrr 1.2.2 ✔ tidyr 1.3.2
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── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
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✖ dplyr::filter() masks stats::filter()
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✖ dplyr::lag() masks stats::lag()
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```
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``` output
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`summarise()` has grouped output by 'fecha_reporte_web'. You can override using
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the `.groups` argument.
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`summarise()` has regrouped the output.
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ℹ Summaries were computed grouped by fecha_reporte_web and sexo.
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ℹ Output is grouped by fecha_reporte_web.
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ℹ Use `summarise(.groups = "drop_last")` to silence this message.
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ℹ Use `summarise(.by = c(fecha_reporte_web, sexo))` for per-operation grouping
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(`?dplyr::dplyr_by`) instead.
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```
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Luego, podemos usar la estética de los gráficos de `ggplot2` indicando
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```
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``` output
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`summarise()` has grouped output by 'edad'. You can override using the
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`.groups` argument.
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`summarise()` has regrouped the output.
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ℹ Summaries were computed grouped by edad and sexo.
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ℹ Output is grouped by edad.
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ℹ Use `summarise(.groups = "drop_last")` to silence this message.
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ℹ Use `summarise(.by = c(edad, sexo))` for per-operation grouping
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(`?dplyr::dplyr_by`) instead.
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```
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Usando los datos de `covid-19`, vamos a representar la variable `casos`

‎config.yaml‎

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This file was deleted.

‎estadistica.md‎

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```
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``` output
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[1] 4.255358 3.481335 4.382420 4.859943 3.996999
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[1] 4.432217 4.809578 2.858290 3.797574 3.737974
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```
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:::
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‎limpieza.md‎

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``` output
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── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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✔ dplyr 1.1.4 ✔ readr 2.1.6
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✔ dplyr 1.2.1 ✔ readr 2.2.0
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✔ forcats 1.0.1 ✔ stringr 1.6.0
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✔ ggplot2 4.0.1 ✔ tibble 3.3.1
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✔ lubridate 1.9.4 ✔ tidyr 1.3.2
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✔ purrr 1.2.1
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✔ ggplot2 4.0.3 ✔ tibble 3.3.1
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✔ lubridate 1.9.5 ✔ tidyr 1.3.2
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✔ purrr 1.2.2
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── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
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✖ dplyr::filter() masks stats::filter()
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✖ dplyr::lag() masks stats::lag()

‎md5sum.txt‎

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"episodes/Reporte.Rmd" "60e93a7816e8076697510fe00f54dede" "site/built/Reporte.md" "2026-04-28"
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"episodes/Reporte.Rmd" "60e93a7816e8076697510fe00f54dede" "site/built/Reporte.md" "2026-05-05"
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