000 | 01982nam a22002057a 4500 | ||
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999 |
_c3886 _d3886 |
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005 | 20221122133545.0 | ||
008 | 221122b ||||| |||| 00| 0 eng d | ||
020 | _a9781484285589 | ||
082 |
_a001.4226 _bBAR |
||
100 |
_aBarker, Tom _99107 |
||
245 | _aPro data visualization using R and JavaScript | ||
260 |
_bApressĀ _aNew York _c2022 |
||
300 | _axv, 274 p. | ||
365 |
_aINR _b899.00 |
||
520 | _aAbout this book Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually. With the popularity of the R language, the art and practice of creating data visualizations is no longer the preserve of mathematicians, statisticians, or cartographers. As technology leaders, we can gather metrics around what we do and use data visualizations to communicate that information. Pro Data Visualization Using R and JavaScript combines the power of the R language with the simplicity and familiarity of JavaScript to display clear and informative data visualizations. Gathering and analyzing empirical data is the key to truly understanding anything. We can track operational metrics to quantify the health of our products in production. We can track quality metrics of our projects, and even use our data to identify bad code. Visualizing this data allows anyone to read our analysis and easily get a deep understanding of the story the data tells. This book makes the R language approachable, and promotes the idea of data gathering and analysis mostly using web interfaces. | ||
650 |
_aJavaScript (Computer program language) _910232 |
||
650 |
_aR (Computer program language) _91512 |
||
650 |
_aInformation visualization _91583 |
||
942 |
_2ddc _cBK |