{"product_id":"data-literacy-9781483333465","title":"Data Literacy","description":"\u003ch2\u003eBook Synopsis\u003c\/h2\u003e\u003cstrong\u003e\u003cem\u003eA practical, skill-based introduction to data analysis and literacy\u003c\/em\u003e\u003c\/strong\u003e\u003cbr\u003e \u003cbr\u003e We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In \u003cstrong\u003eData Literacy: A User's Guide\u003c\/strong\u003e, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today's world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such\u003cbr\u003e\u003cbr\u003e\u003ch2\u003eTable of Contents\u003c\/h2\u003eChapter 1: Data Defined    Climbing the pyramid    A brief history of the data world    Data file formats Chapter 2: Clues for uncovering data    Why agencies collect, analyze, publish data    Clues from data entry    Clues from reports    Tricks to uncover forms and reports    On your own Chapter 3: Online databases    Destination: data portals    Statistical stockpiles    Agency sites    Non-governmental resources    Data search tricks    Don’t forget the road map    On your own Chapter 4: Identifying and requesting offline data    Other clues for offline data    Find the data nerd    Requesting the data    Writing the data request    FOIA in action    Negotiating through obstacles    Getting help    On your own Chapter 5: Data dirt is everywhere    All data are dirty    Detecting dirt in agricultural data    Changed rules = changed data    On your own Chapter 6: Data integrity checks    Big-picture checks    Detailed checks    On your own Chapter 7: Getting your data in shape    Column carving    Concatenate to paste    Date tricks    Power scrubbing with OpenRefine    Extracting data from PDFs    On your own Chapter 8: Number summaries and comparisons    Simple summary statistics    Compared to what?    Benchmarking    On your own Chapter 9: Calculating summary statistics and number comparisons    Sum crimes by year    Minimum and maximum numbers    Amount change    Stepping up to percent change    Running rates    Running ratios    Percent of total    More summarizing    On your own Chapter 10: Spreadsheets as database managers    Sorting    Filtering records    Grouping and summarizing    On your own Chapter 11: Visualizing your data    Data visualization defined    Some best practices Chapter 12: Charting choices    Visualizing data with charts    On your own Chapter 13: Charting in Excel    Pie chart    Horizontal bar charts    Column and line charts    Scatterplot    Stock chart    Sparklines    On your own Chapter 14: Charting with Web tools    Online visualization options    Evaluating web visualization platforms    Creating Fusion Table charts    On your own Chapter 15: Taking analysis to the next level    Database managers    Statistical programs","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48739654205783,"sku":"9781483333465","price":48.6,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781483333465.jpg?v=1720052832","url":"https:\/\/bookcurl.com\/products\/data-literacy-9781483333465","provider":"Book Curl","version":"1.0","type":"link"}