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Effective Data Visualization
"Learn the methods you need to bring data to life through effective visualizations. In this video course, host Jeffrey Heer--co-founder of Trifacta--takes you through best practices for designing interactive visualizations, performing exploratory data analysis, and examining multidimensional data. You'll begin by learning the value of visualization, through design principles drawn from graphic design, visual art, perceptual psychology, and cognitive science. Using Trifacta's data transformation tools to illustrate some of the concepts, you'll also learn techniques for scaling visualizations to extremely large data sets."--Resource description page.
Immigration in America Today
America today is witnessing the largest and most sustained wave of immigrants its borders have ever seen. Although factors like the Great Depression, World War II, and quota restrictions had slowed the massive influx of Europeans from the early part of the 20th century, policies like the 1965 Immigration and Nationality Act have relaxed quotas and opened America's doors to hundreds of thousands of immigrants a year, from both Eastern and Western hemispheres, to reach a height of over 9 million immigrants in the 1990s. Today, immigrants and policy-makers alike grapple with issues regarding employment, education, refugee status, and family reunification; as well as illegal immigrants—many fr...
Illegal Immigration in America
Few issues have provoked as much controversy over the last decade as illegal immigration. While some argue for the need to seal America's borders and withdraw all forms of social and governmental support for illegal migrants and their children, others argue for humanitarian treatment—including legalization—for people who fill widely acknowledged needs in American industry and agriculture and have left home-country situations of economic hardship or political persecution. The study of illegal immigration necessarily confronts a broad range of migrants—from the familiar border crossers to those who enter illegally and overstay their visas, to the many unrecognized refugees who enter the ...
Displaying Time Series, Spatial, and Space-Time Data with R
Code and Methods for Creating High-Quality Data GraphicsA data graphic is not only a static image, but it also tells a story about the data. It activates cognitive processes that are able to detect patterns and discover information not readily available with the raw data. This is particularly true for time series, spatial, and space-time datasets.F
Principles of Data Wrangling
A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst’s time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors—time, granularity, scope, and structure—that you need to consider as you begin to work with data. You’ll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today’s data-driven organizations. Appreciate the importance—and the satisfaction—of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis
Middle East Review
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Population Review
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