From 8e4e3aeb187ba359dea7765c37cbe7afbbfd5dec Mon Sep 17 00:00:00 2001 From: Ted Laderas Date: Wed, 2 Oct 2024 09:40:40 -0700 Subject: [PATCH] update with slides for w2 --- 02-data-structures.Rmd | 8 ++++++++ .../figure-html/unnamed-chunk-13-1.png | Bin 57882 -> 46779 bytes index.Rmd | 8 ++++---- slides/images/ggplot2_exploratory.png | Bin 0 -> 1592625 bytes slides/images/ggplot_basics_from_ppt.png | Bin 0 -> 997203 bytes slides/images/khealy_ggplot1.png | Bin 0 -> 204819 bytes slides/images/khealy_ggplot1_part1.jpg | Bin 0 -> 27063 bytes 7 files changed, 12 insertions(+), 4 deletions(-) create mode 100644 slides/images/ggplot2_exploratory.png create mode 100644 slides/images/ggplot_basics_from_ppt.png create mode 100644 slides/images/khealy_ggplot1.png create mode 100644 slides/images/khealy_ggplot1_part1.jpg diff --git a/02-data-structures.Rmd b/02-data-structures.Rmd index 1c1a3c4..c74a268 100644 --- a/02-data-structures.Rmd +++ b/02-data-structures.Rmd @@ -2,6 +2,14 @@ In our second lesson, we start to look at two **data structures**, **vectors** and **dataframes**, that can handle a large amount of data. +## Slides + +[Link to Slides](https://hutchdatascience.org/intro_r_slides/lesson2_slides.html) + +```{r} +knitr::include_url("https://hutchdatascience.org/intro_r_slides/lesson2_slides.html") +``` + ## Vectors In the first exercise, you started to explore **data structures**, which store information about data types. 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zo(zSya3?I;yJ{&?4C7jxpkPEomOTA=AMP##CVQPe1iJEn@Z;n@@a{h^vOMsA$6%I+7*<=PE&{@)mVdbhtk_Q&U~%*5BCdqNn(B!0PDKT&9PrrWub zcF1L(BPiAHV|@j4mZg?}F2k(F;!mC+sZtP-VBB?p{n_dTO30!xJ;3pryTCE%&Cydn z!;=?^I)?;cXNL{1_Me-6x6I*(b$vKyIRJ-9-s-$`TrK|95z!iCXq+RSAhcwT`7Q{s_LF3xM9%NJr85qRH_hx7#DlBA{1Mv9h ghGT=(;|KmT7Vtd2Zg^O{g8>LUUHx3vIVCg!07fwWa{vGU diff --git a/index.Rmd b/index.Rmd index 132bfc2..aafa0f2 100644 --- a/index.Rmd +++ b/index.Rmd @@ -145,14 +145,14 @@ More details about the Code-a-thon to come. ## Community Sessions -Two times this quarter we will have learning community sessions, to talk about applications of what we're learning. These sessions are optional, but will help you solidify your learning during the course. +Two times this quarter we will have learning community sessions, to talk about applications of what we're learning. These sessions are optional, but will help you solidify your learning during the course. These sessions are open to the larger Fred Hutch community, so if you know someone who is curious about R, you can send them the links below to RSVP for the session. These dates are: -October 16 at 12-1:30 PM -November 6 at 12-1:30 PM +- [October 16 at 12-1:30 PM](https://www.addevent.com/event/Dl23075333) +- [November 6 at 12-1:30 PM](https://www.addevent.com/event/rl23076035) -These dates will be sent to you when you register for the course. +You have the power to suggest topics. 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