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| .github | ||
| R | ||
| data | ||
| data-raw | ||
| inst/htmlwidgets | ||
| man | ||
| renv | ||
| sandbox/specs-for-infogrid | ||
| tests | ||
| .Rbuildignore | ||
| .Rprofile | ||
| .gitignore | ||
| DESCRIPTION | ||
| NAMESPACE | ||
| README.Rmd | ||
| README.md | ||
| app.R | ||
| azure-pipelines.yml | ||
| datamations.Rproj | ||
| renv.lock | ||
| start-up.R | ||
README.md
datamations
datamations is a framework for automatic generation of explanation of plots and tables from analysis code. It automatically turns code into animations, showing the steps that led to a plot or a table.
Installation
You can install datamations from GitHub with:
# install.packages("devtools")
devtools::install_github("jhofman/datamations)
Usage
To get started, load datamations and the tidyverse:
library(datamations)
library(tidyverse)
Plot-based datamations
A plot-based datamation shows a plot of what the data looks like at each
step of a pipeline, animated by the transitions that lead to each state.
The following shows an example taking the built-in small_salary data
set, grouping by Degree, and calculating the mean Salary.
First, define the code for the pipeline, then generate the datamation
with datamation_sanddance():
"small_salary %>% group_by(Degree) %>% summarize(mean = mean(Salary))" %>%
datamation_sanddance()
#> $data
#> $data[[1]]
#> {
#> "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
#> "meta": {
#> "parse": "grid"
#> },
#> "data": {
#> "values": [
#> {
#> "n": 100
#> }
#> ]
#> },
#> "mark": "point",
#> "encoding": {
#> "x": {
#> "field": "x",
#> "type": "quantitative",
#> "axis": null
#> },
#> "y": {
#> "field": "y",
#> "type": "quantitative",
#> "axis": null
#> }
#> }
#> }
#>
#>
#> $group_by
#> $group_by[[1]]
#> {
#> "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
#> "meta": {
#> "parse": "grid"
#> },
#> "data": {
#> "values": [
#> {
#> "Degree": "Masters",
#> "n": 72
#> },
#> {
#> "Degree": "PhD",
#> "n": 28
#> }
#> ]
#> },
#> "facet": {
#> "column": {
#> "field": "Degree",
#> "type": "nominal",
#> "title": null
#> }
#> },
#> "spec": {
#> "mark": "point",
#> "encoding": {
#> "x": {
#> "field": "x",
#> "type": "quantitative",
#> "axis": null
#> },
#> "y": {
#> "field": "y",
#> "type": "quantitative",
#> "axis": null
#> }
#> }
#> }
#> }
#>
#>
#> $summarize
#> $summarize[[1]]
#> {
#> "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
#> "meta": {
#> "parse": "jitter"
#> },
#> "data": {
#> "values": [
#> {
#> "gemini_id": 1,
#> "y": 81.9445013836958,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 2,
#> "y": 84.4868333523627,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 3,
#> "y": 82.8953005648218,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 4,
#> "y": 83.8469139884692,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 5,
#> "y": 83.7531382157467,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 6,
#> "y": 85.2683244312648,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 7,
#> "y": 91.4052118111867,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 8,
#> "y": 85.3309176496696,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 9,
#> "y": 83.2656172472052,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 10,
#> "y": 92.3489408034366,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 11,
#> "y": 82.899547266541,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 12,
#> "y": 84.7384647994768,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 13,
#> "y": 90.1877911367919,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 14,
#> "y": 90.3138903337531,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 15,
#> "y": 90.3365755749401,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 16,
#> "y": 89.6885157823563,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 17,
#> "y": 89.657391943736,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 18,
#> "y": 89.8103184474166,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 19,
#> "y": 85.0068552203011,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 20,
#> "y": 90.1445505130105,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 21,
#> "y": 90.2597002927214,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 22,
#> "y": 85.1630066898651,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 23,
#> "y": 89.5807276440319,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 24,
#> "y": 85.3773716066498,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 25,
#> "y": 85.0828845105134,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 26,
#> "y": 91.4775695463177,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 27,
#> "y": 90.5421400056221,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 28,
#> "y": 90.9508253019303,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 29,
#> "y": 84.3256172758993,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 30,
#> "y": 90.7608228451572,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 31,
#> "y": 91.2149588565808,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 32,
#> "y": 91.4811559985392,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 33,
#> "y": 91.203505871119,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 34,
#> "y": 84.1406831252389,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 35,
#> "y": 90.900099467719,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 36,
#> "y": 91.3447520111222,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 37,
#> "y": 90.6169246234931,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 38,
#> "y": 91.1798533124384,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 39,
#> "y": 91.2493746823166,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 40,
#> "y": 91.4049337708857,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 41,
#> "y": 91.1165353488177,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 42,
#> "y": 91.1068642993923,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 43,
#> "y": 86.0538539250847,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 44,
#> "y": 90.6704280367121,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 45,
#> "y": 91.4698466714472,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 46,
#> "y": 91.0579056167044,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 47,
#> "y": 93.1602621641941,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 48,
#> "y": 85.9106459924951,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 49,
#> "y": 93.4098555028904,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 50,
#> "y": 90.9434416298755,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 51,
#> "y": 91.1740557027515,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 52,
#> "y": 86.0406335154548,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 53,
#> "y": 93.0570627038833,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 54,
#> "y": 91.2401522365399,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 55,
#> "y": 90.5011388328858,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 56,
#> "y": 85.3303201349918,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 57,
#> "y": 90.6040293425322,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 58,
#> "y": 85.4951418309938,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 59,
#> "y": 91.4005046924576,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 60,
#> "y": 91.1476999609731,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 61,
#> "y": 90.7045878821518,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 62,
#> "y": 90.6188371984754,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 63,
#> "y": 90.5633510330226,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 64,
#> "y": 90.5981954357121,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 65,
#> "y": 91.1700340267271,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 66,
#> "y": 90.7472879537381,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 67,
#> "y": 86.4447282091714,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 68,
#> "y": 92.0161147855688,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 69,
#> "y": 92.2819435379934,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 70,
#> "y": 91.5201518230606,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 71,
#> "y": 92.2406232669018,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 72,
#> "y": 92.7338204937987,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 73,
#> "y": 86.3678887020797,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 74,
#> "y": 84.5408536496107,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 75,
#> "y": 91.6161431246437,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 76,
#> "y": 92.0414693744387,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 77,
#> "y": 92.2921498068608,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 78,
#> "y": 91.6981512298808,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 79,
#> "y": 91.8960476492066,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 80,
#> "y": 92.4187721665949,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 81,
#> "y": 87.049029128626,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 82,
#> "y": 91.8766731780488,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 83,
#> "y": 92.3804325407837,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 84,
#> "y": 92.1729675922543,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 85,
#> "y": 93.1600916916505,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 86,
#> "y": 92.1522822889965,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 87,
#> "y": 85.4612494898029,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 88,
#> "y": 92.1945560907479,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 89,
#> "y": 86.6827135430649,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 90,
#> "y": 91.5597189620603,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 91,
#> "y": 91.992212592857,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 92,
#> "y": 92.4685412924737,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 93,
#> "y": 93.7030599385034,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 94,
#> "y": 87.4391794742551,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 95,
#> "y": 91.9892992568202,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 96,
#> "y": 91.9956347632688,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 97,
#> "y": 92.3084856946953,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 98,
#> "y": 91.7435715948232,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 99,
#> "y": 93.833772216225,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 100,
#> "y": 94.0215112566948,
#> "Degree": "PhD",
#> "x": 1
#> }
#> ]
#> },
#> "facet": {
#> "column": {
#> "field": "Degree",
#> "type": "nominal",
#> "title": null
#> }
#> },
#> "spec": {
#> "mark": "point",
#> "encoding": {
#> "x": {
#> "field": "x",
#> "type": "quantitative",
#> "axis": null
#> },
#> "y": {
#> "field": "y",
#> "type": "quantitative",
#> "axis": null
#> }
#> }
#> }
#> }
#>
#> $summarize[[2]]
#> {
#> "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
#> "meta": [],
#> "data": {
#> "values": [
#> {
#> "gemini_id": 1,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
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#> "y": 88.2456061263219,
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#> "Degree": "Masters",
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#> "Degree": "PhD",
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#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 19,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 20,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 21,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 22,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 23,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 24,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 25,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 26,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 27,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 28,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 29,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 30,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 31,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 32,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 33,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 34,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 35,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 36,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 37,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 38,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 39,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 40,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 41,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 42,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 43,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 44,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 45,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 46,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 47,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 48,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 49,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 50,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 51,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 52,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 53,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 54,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 55,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 56,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 57,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 58,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 59,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 60,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 61,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 62,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 63,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 64,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 65,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 66,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 67,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 68,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 69,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 70,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 71,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 72,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 73,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 74,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 75,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 76,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 77,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 78,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 79,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 80,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 81,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 82,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 83,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 84,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 85,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 86,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 87,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 88,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 89,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 90,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 91,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 92,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 93,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 94,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 95,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 96,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 97,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 98,
#> "y": 90.2263340061763,
#> "Degree": "Masters",
#> "x": 1
#> },
#> {
#> "gemini_id": 99,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> },
#> {
#> "gemini_id": 100,
#> "y": 88.2456061263219,
#> "Degree": "PhD",
#> "x": 1
#> }
#> ]
#> },
#> "facet": {
#> "column": {
#> "field": "Degree",
#> "type": "nominal",
#> "title": null
#> }
#> },
#> "spec": {
#> "mark": "point",
#> "encoding": {
#> "x": {
#> "field": "x",
#> "type": "quantitative",
#> "axis": null
#> },
#> "y": {
#> "field": "y",
#> "type": "quantitative",
#> "axis": null
#> }
#> }
#> }
#> }
You can group by multiple variables, as in this example, grouping by
Degree and Work before calculating the mean Salary:
"small_salary %>% group_by(Degree, Work) %>% summarize(mean = mean(Salary))" %>%
datamation_sanddance()
#> $data
#> $data[[1]]
#> {
#> "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
#> "meta": {
#> "parse": "grid"
#> },
#> "data": {
#> "values": [
#> {
#> "n": 100
#> }
#> ]
#> },
#> "mark": "point",
#> "encoding": {
#> "x": {
#> "field": "x",
#> "type": "quantitative",
#> "axis": null
#> },
#> "y": {
#> "field": "y",
#> "type": "quantitative",
#> "axis": null
#> }
#> }
#> }
#>
#>
#> $group_by
#> $group_by[[1]]
#> {
#> "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
#> "meta": {
#> "parse": "grid"
#> },
#> "data": {
#> "values": [
#> {
#> "Degree": "Masters",
#> "n": 72
#> },
#> {
#> "Degree": "PhD",
#> "n": 28
#> }
#> ]
#> },
#> "facet": {
#> "column": {
#> "field": "Degree",
#> "type": "nominal",
#> "title": null
#> }
#> },
#> "spec": {
#> "mark": "point",
#> "encoding": {
#> "x": {
#> "field": "x",
#> "type": "quantitative",
#> "axis": null
#> },
#> "y": {
#> "field": "y",
#> "type": "quantitative",
#> "axis": null
#> }
#> }
#> }
#> }
#>
#> $group_by[[2]]
#> {
#> "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
#> "meta": {
#> "parse": "grid"
#> },
#> "data": {
#> "values": [
#> {
#> "Degree": "Masters",
#> "Work": "Academia",
#> "n": 10
#> },
#> {
#> "Degree": "Masters",
#> "Work": "Industry",
#> "n": 62
#> },
#> {
#> "Degree": "PhD",
#> "Work": "Academia",
#> "n": 18
#> },
#> {
#> "Degree": "PhD",
#> "Work": "Industry",
#> "n": 10
#> }
#> ]
#> },
#> "facet": {
#> "column": {
#> "field": "Degree",
#> "type": "nominal",
#> "title": null
#> },
#> "row": {
#> "field": "Work",
#> "type": "nominal",
#> "title": null
#> }
#> },
#> "spec": {
#> "mark": "point",
#> "encoding": {
#> "x": {
#> "field": "x",
#> "type": "quantitative",
#> "axis": null
#> },
#> "y": {
#> "field": "y",
#> "type": "quantitative",
#> "axis": null
#> }
#> }
#> }
#> }
#>
#>
#> $summarize
#> $summarize[[1]]
#> {
#> "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
#> "meta": {
#> "parse": "jitter"
#> },
#> "data": {
#> "values": [
#> {
#> "gemini_id": 1,
#> "y": 81.9445013836958,
#> "Degree": "Masters",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 2,
#> "y": 84.4868333523627,
#> "Degree": "PhD",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 3,
#> "y": 82.8953005648218,
#> "Degree": "Masters",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 4,
#> "y": 83.8469139884692,
#> "Degree": "PhD",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 5,
#> "y": 83.7531382157467,
#> "Degree": "PhD",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 6,
#> "y": 85.2683244312648,
#> "Degree": "PhD",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 7,
#> "y": 91.4052118111867,
#> "Degree": "PhD",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 8,
#> "y": 85.3309176496696,
#> "Degree": "PhD",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 9,
#> "y": 83.2656172472052,
#> "Degree": "Masters",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 10,
#> "y": 92.3489408034366,
#> "Degree": "PhD",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 11,
#> "y": 82.899547266541,
#> "Degree": "Masters",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 12,
#> "y": 84.7384647994768,
#> "Degree": "PhD",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 13,
#> "y": 90.1877911367919,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 14,
#> "y": 90.3138903337531,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 15,
#> "y": 90.3365755749401,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 16,
#> "y": 89.6885157823563,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 17,
#> "y": 89.657391943736,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 18,
#> "y": 89.8103184474166,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 19,
#> "y": 85.0068552203011,
#> "Degree": "PhD",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 20,
#> "y": 90.1445505130105,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 21,
#> "y": 90.2597002927214,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 22,
#> "y": 85.1630066898651,
#> "Degree": "PhD",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 23,
#> "y": 89.5807276440319,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 24,
#> "y": 85.3773716066498,
#> "Degree": "PhD",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 25,
#> "y": 85.0828845105134,
#> "Degree": "PhD",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 26,
#> "y": 91.4775695463177,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 27,
#> "y": 90.5421400056221,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 28,
#> "y": 90.9508253019303,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
#> },
#> {
#> "gemini_id": 29,
#> "y": 84.3256172758993,
#> "Degree": "Masters",
#> "Work": "Academia",
#> "x": 1
#> },
#> {
#> "gemini_id": 30,
#> "y": 90.7608228451572,
#> "Degree": "Masters",
#> "Work": "Industry",
#> "x": 1
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#> "facet": {
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#> "title": null
#> },
#> "row": {
#> "field": "Work",
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#> }
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Table-based datamations
A table-based datamation shows a mock table of what the data looks like
at each step of pipeline, again animated by the transitions that lead to
each state. The following shows our same first example: taking the
built-in small_salary data set, grouping by Degree, and calculating
the mean Salary, using the same pipeline.
You can generate a table-based datamation with datamation_tibble():
datamation_tibble(
pipeline = mean_salary_by_degree_pipe,
output = "mean_salary_group_by_degree.gif"
)
Datamations work on any dataset provided, as in this example taking
mtcars and grouping by cyl:
mtcars_group_cyl <- "mtcars %>% group_by(cyl)"
datamation_tibble(mtcars_group_cyl, output = "mtcars_group_cyl.gif")
