Herzog, David, 1963-
Data literacy : a user's guide / David Herzog - Los Angeles : SAGE, c2016. - xiv, 203 p. : ill. ; 23 cm.
Includes bibliographical references and index.
Data defined -- Clues for uncovering data -- Online databases -- Identifying and requesting offline data -- Data dirt -- Data literacy -- Getting your data in shape -- Number summaries and comparisons -- Calculating summary statistics and number corrections -- Spreadsheets as database managers -- Visualizing your data -- Charting choices -- Charting in Excel -- Charting with Web tools -- Taking analysis to the next level.
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 as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.
9781483333465
2014048051
Research--Data processing
Data literacy
Data dirt
Data processing
Q180.55.E4 / H47 2016
001.4/33
Data literacy : a user's guide / David Herzog - Los Angeles : SAGE, c2016. - xiv, 203 p. : ill. ; 23 cm.
Includes bibliographical references and index.
Data defined -- Clues for uncovering data -- Online databases -- Identifying and requesting offline data -- Data dirt -- Data literacy -- Getting your data in shape -- Number summaries and comparisons -- Calculating summary statistics and number corrections -- Spreadsheets as database managers -- Visualizing your data -- Charting choices -- Charting in Excel -- Charting with Web tools -- Taking analysis to the next level.
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 as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.
9781483333465
2014048051
Research--Data processing
Data literacy
Data dirt
Data processing
Q180.55.E4 / H47 2016
001.4/33