| Description |
1 online resource : illustrations |
| Contents |
Data defined -- Clues for uncovering data -- Online databases -- Identifying and requesting offline data -- Data dirt is everywhere -- Data integrity checks -- Getting your data in shape -- Number summaries and comparisons -- Calculating summary statistics and number comparisons -- Spreadsheets as database managers -- Visualizing your data -- Charting choices -- Charting in Excel -- Charting with Web tools -- Taking analysis to the next level |
| Summary |
A unique approach weaves background information about data with practical, hands-on lessons that develop fundamental research skills all students should understand. Easy-to-follow tutorials provide readers with step-by-step instructions to quickly begin analyzing data without having advanced knowledge of data analysis or statistics. Extensive illustrations throughout the book demonstrate to readers how to understand data. End-of-chapter On Your Own exercises challenge readers to develop their skills through easy-to-use data files and questions to reinforce the chapter learning objectives. Student Study Site includes data sets that readers can use to test their data literacy |
| Subject |
Data mining.
|
|
Statistics.
|
| Form |
Electronic book
|
| ISBN |
1483378675 (EPUB) |
|
1483399966 |
|
9781483378671 (EPUB) |
|
9781483399966 |
|
(paperback) |
|
