From 07c8031b83f8221aa2fe9bfb9c00f98149f781e2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Camilo=20Garc=C3=ADa?= Date: Wed, 10 Apr 2024 14:49:54 -0500 Subject: [PATCH 1/3] Add TidierDB.jl to features in index.md --- docs/src/index.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/docs/src/index.md b/docs/src/index.md index f167d6e..72cc8a6 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -26,6 +26,11 @@ features: details: "TidierPlots.jl is a 100% Julia implementation of the R package ggplot in Julia. Powered by Makie.jl, and Julia’s extensive meta-programming capabilities, TidierPlots.jl is an R user’s love letter to data visualization in Julia." link: https://tidierorg.github.io/TidierPlots.jl/latest/ + - icon: tidierdb + title: TidierDB.jl + details: "TidierDB.jl is a 100% Julia implementation of the R package dbplyr in Julia and similar to Python's ibis package. Its main goal is to bring the syntax of Tidier.jl to multiple SQL backends, making it possible to analyze data directly on databases without needing to copy the entire database into memory." + link: https://tidierorg.github.io/TidierDB.jl/latest/ + - icon: tidierfiles title: TidierFiles.jl details: "TidierFiles.jl leverages the CSV.jl, XLSX.jl, and ReadStatTables.jl packages to reimplement the R haven and readr packages." From 6f9f08438d4202e76044f71cc569180d78bf7d56 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Camilo=20Garc=C3=ADa?= Date: Wed, 10 Apr 2024 15:50:11 -0500 Subject: [PATCH 2/3] Update documentation with new TidierPlots.jl features and examples --- docs/make.jl | 6 +- docs/src/figs/customized-scatter.png | Bin 0 -> 55695 bytes docs/src/figs/scatter.png | Bin 0 -> 94038 bytes docs/src/simple-plotting.md | 94 +++++++++++++++++++++++++++ 4 files changed, 99 insertions(+), 1 deletion(-) create mode 100644 docs/src/figs/customized-scatter.png create mode 100644 docs/src/figs/scatter.png create mode 100644 docs/src/simple-plotting.md diff --git a/docs/make.jl b/docs/make.jl index 38fb0dd..f892f55 100644 --- a/docs/make.jl +++ b/docs/make.jl @@ -13,7 +13,11 @@ DocMeta.setdocmeta!(Tidier, pgs = [ "Home" => "index.md", - "Get Started" => ["Installation" => "installation.md", "A Simple Data Analysis" => "simple-analysis.md"], + "Get Started" => [ + "Installation" => "installation.md", + "A Simple Data Analysis" => "simple-analysis.md", + "From Data to Plots" => "simple-plotting.md" + ], "API Reference" => "reference.md", "Changelog" => "news.md", "FAQ" => "faq.md", diff --git a/docs/src/figs/customized-scatter.png b/docs/src/figs/customized-scatter.png new file mode 100644 index 0000000000000000000000000000000000000000..5ac6cae4f6bd6a9bc0e00dcb85d08c1dac7912d4 GIT binary patch literal 55695 zcmd43^F zTqG3y>cdI;69N*X)hFmWsWbuZi?8=c7;lF{SUevX8D$Jf2?%bHsxXq?BY8nG>PIep z{eF>K%Y60ZOD7aUZ22n9bi=vw=T=E&#nAS0jOTX$Yo#}@5ySc2<;!dqm^DGrQY1YB z2lK&a_Z|smwRK61|37`VZ=I~Wzvf(-dU=qQ>ao{mn(FCnWwrS_-)#`#wT$5A=03`? zDII6HSdqOt_P#2ev`!UqSi<+-!Dnz=`KBy%3v-$2-*Zdmw`O0R?@M0o_gtO#NTN52 z+=;n)c&@g#FSp#M_UTc_#Nl2GObo8amDAPb<>kjS;MWvlj~SeRXS09DuVFSTDzWRy zN#xZ@o?bhh1w=OZN_f7!Y}vo zYfzG?(^@0LO_`C@YVVzS&}S!#j!YKK^M zR1z~@SPNM8)mi@4?WlCw$eK+nn{mY2pD3p3tBYwK#w)Ph4(l`ELP$wnPdoIyEIMu9 zWT?0(Rk#KVxA{O-knKR@Bwy z_7!E+)$!Hk^klQ-d86b*#+EoG@3a1o{SW`GqU)Bm*e>RtcbV)DWUET_c!Aj{qa2pI 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b/docs/src/simple-plotting.md @@ -0,0 +1,94 @@ +# From data to plots + +## Exploring the penguins data + +A very well known dataset in the R community is the `palmerpenguins` dataset. It contains data about penguins, including their species and some ecological measurements. Let's load the data and take a look at it. + +```julia +using Tidier #exports TidierPlots.jl and others +using DataFrames +using PalmerPenguins + +penguins = dropmissing(DataFrame(PalmerPenguins.load())); +``` + +The `penguins` DataFrame contains the following columns (from `TiderData.jl` let us take a glimpse): + +```julia +@glimpse penguins +``` + +``` +Rows: 333 +Columns: 7 +.species InlineStrings.String15Adelie, Adelie, Adelie, Adelie, Adelie, Ade +.island InlineStrings.String15Torgersen, Torgersen, Torgersen, Torgersen, +.bill_length_mm Float64 39.1, 39.5, 40.3, 36.7, 39.3, 38.9, 39.2, 41.1, 38 +.bill_depth_mm Float64 18.7, 17.4, 18.0, 19.3, 20.6, 17.8, 19.6, 17.6, 21 +.flipper_length _mmInt64 181, 186, 195, 193, 190, 181, 195, 182, 191, 19 +.body_mass_g Int64 3750, 3800, 3250, 3450, 3650, 3625, 4675, 3200, 38 +.sex InlineStrings.String7male, female, female, female, male, female, +``` + +## A simple `TiderPlots.jl` scatterplot + +Now the experience to plot using `TidierPlots.jl` will be as seamless as in R. Let's start by plotting the `bill_length_mm` and `bill_depth_mm` columns. + +```julia +ggplot(penguins, @aes(x=bill_length_mm, y=bill_depth_mm, color = species))+ + geom_point() +``` + +![A simple scatter plot](figs/scatter.png) + +This is *not* R code, its pure Julia. And if you are familiar with R, you will find it very similar. The `ggplot` function creates a plot object, and the `geom_point` function adds a scatter layer on top of it. The `@aes` macro is used to map the variables of the `penguins` DataFrame to the aesthetics of the plot. In this case, we are mapping the `bill_length_mm` column to the x-axis, the `bill_depth_mm` column to the y-axis, and the `species` column to the color of the points. The output is a scatter plot of the `bill_length_mm` and `bill_depth_mm` columns, colored by the `species` column. + +Now, `@aes()` is used to map variables in your data to visual properties (aesthetics) of the plot. These aesthetics can include things like position (x and y coordinates), color, shape, size, etc. Each aesthetic is a way of visualizing a variable or a statistical transformation of a variable. + +Aesthetics are specified in the form aes(aesthetic = variable), where aesthetic is the name of the aesthetic, and variable is the column name in your data that you want to map to the aesthetic. The variable names do not need to be preceded by a colon. This is the first difference you might encounter when using `TidierPlots.jl`, and the best part is that it also accepts multiple forms for `aes` specification, none of which is exactly the same as ggplot2. + +Option 1: `@aes` macro, aes as in ggplot2: + +```julia +@aes(x = x, y = y) +``` + +Option 2: `@es`: + +```julia +@es(x = x, y = y) +``` + +Option 3: `aes` function, julia-style columns: + +```julia +aes(x = :x, y = :y) +``` + +Option 4: `aes` function, strings for columns: + +```julia +aes(x = "x", y = "y") +``` + +## Customizing the plot + +Moving from general rules, to specific plots, let us first explore `geom_point()` + +`geom_point()` is used to create a scatter plot. It is typically used with aesthetics mapping variables to x and y positions, and optionally to other aesthetics like color, shape, and size. `geom_point()` can be used to visualize the relationship between two continuous variables, or a continuous and a discrete variable. The following visuals features can be changed within geom_point(), shape, size, stroke, strokecolour, and alpha. + +```julia +ggplot(penguins, @aes(x = bill_length_mm, y = bill_depth_mm, color = species)) + + geom_point( + size = 20, + stroke = 1, + strokecolor = "black", + alpha = 0.2) + + labs(x = "Bill Length (mm)", y = "Bill Width (mm)") + + lims(x = c(40, 60), y = c(15, 20)) + + theme_minimal() +``` + +![Customized scatter plot](figs/customized-scatter.png) + +To see more about the `TidierPlots.jl` package, you can visit the [documentation](https://tidierorg.github.io/TidierPlots.jl/latest/). \ No newline at end of file From 83da87da0b5e4b4d9a588a6a818aed59de05adb8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Camilo=20Garc=C3=ADa?= Date: Wed, 10 Apr 2024 16:25:36 -0500 Subject: [PATCH 3/3] Hide API until a solution to deployment issue --- docs/make.jl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/make.jl b/docs/make.jl index f892f55..6e97415 100644 --- a/docs/make.jl +++ b/docs/make.jl @@ -18,7 +18,7 @@ pgs = [ "A Simple Data Analysis" => "simple-analysis.md", "From Data to Plots" => "simple-plotting.md" ], - "API Reference" => "reference.md", + # "API Reference" => "reference.md", "Changelog" => "news.md", "FAQ" => "faq.md", # "Contributing" => "contributing.md",