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LTPP Data Analysis : by Hall, Kathleen T.(Kathleen Theresa),1964-(CARDINAL)311713; ERES Consultants, Inc.(CARDINAL)286907; Turner-Fairbank Highway Research Center.(CARDINAL)286897;
Includes bibliographical references (pages 149-150).Interim report.Performed by ERES Consultants, Inc., under contract,
Subjects: Technical reports.; Pavements, Concrete; Pavements; Pavements;
Available copies: 1 / Total copies: 1
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LTPP data analysis : influence of design and construction features on the response and performance of new flexible and rigid pavements / by Chatti, Karim.(CARDINAL)329240; National Cooperative Highway Research Program.(CARDINAL)281856; National Research Council (U.S.).Transportation Research Board.(CARDINAL)141287;
Includes bibliographical references (pages 350-352).Final report.Sponsored by the American Association of State Highway and Transportation Officials, in cooperation with the Federal Highway Administration, and conducted in the National Cooperative Highway Research Program.
Subjects: Pavements, Flexible; Pavements, Concrete; Pavements, Flexible; Pavements, Concrete; Pavements, Flexible; Pavements, Concrete;
Available copies: 1 / Total copies: 1
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Excel data analysis / by McFedries, Paul,author.(CARDINAL)367649;
"Turn jumbles of numbers into graphics, insights, and answers with Excel. With Microsoft Excel, you can, well, excel at data analysis. And Excel Data Analysis For Dummies can help, with clear and easy explanations of the mountain of features for creating, visualizing, and analyzing data. PivotTables, charts, what-if analysis, statistical functions -- it's all in here, with examples and ideas for Excel users of all skill levels. This latest edition covers the most recent updates to Excel and Microsoft 365. You'll beef up your data skills and learn powerful techniques for turning numbers into knowledge. For students, researchers, and business professionals, Excel is the spreadsheet and data application of choice -- and Dummies is the best choice for learning how to make those numbers sing. Learn how to use Excel's built-in data analysis features and write your own functions to explore patterns in your data ; Create striking charts and visualizations, and discover multiple ways to tell the stories hidden in the numbers ; Clean up large datasets and identify statistical operations that will answer your questions ; Perform financial calculations, database operations, and more -- without leaving Excel. Excel Data Analysis For Dummies is the go-to resource for Excel users who are looking for better ways to crunch the numbers"--
Subjects: Instructional and educational works.; Microsoft Excel (Computer file); Electronic spreadsheets; Electronic spreadsheets;
Available copies: 1 / Total copies: 3
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Just plain data analysis : finding, presenting, and interpreting social science data / by Klass, Gary M.,1952-;
Includes bibliographical references and index.Measuring political, social and economic conditions -- Measuring racial and ethnic inequality -- Statistical fallacies, paradoxes and threats to validity -- Examining a relationship : New York City crime rates -- Tabulating the data and writing about the numbers -- The graphical display of data -- Voting and elections -- Measuring educational achievement -- Measuring poverty and inequality.
Subjects: Statistics.; Social sciences; Social sciences; Statistics.;
Available copies: 1 / Total copies: 1
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SQL for data analysis : advanced techniques for transforming data into insights / by Tanimura, Cathy,author.;
1. Analysis with SQL -- 2. Preparing data for analysis -- 3. Time series analysis -- 4. Cohort analysis -- 5. Text analysis -- 6. Anomaly detection -- 7. Experiment analysis -- 8. Creating complex data sets for analysis -- 9. Conclusion.
Subjects: SQL (Computer program language); Mathematical statistics.;
Available copies: 1 / Total copies: 1
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Analysis of curves as data / by Slettehaugh, Pat.; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Statistics.(CARDINAL)149563;
Includes bibliographical references (pages 38-39).
Subjects: Nonparametric statistics.; Multivariate analysis.; Kernel functions.;
Available copies: 1 / Total copies: 2
On-line resources: Suggest title for digitization;
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Introduction to statistics and data analysis / by Peck, Roxy.(CARDINAL)819941; Devore, Jay L.(CARDINAL)523818; Olsen, Chris,1948-(CARDINAL)818256;
Includes bibliographical references and index.
Subjects: Statistics.;
Available copies: 1 / Total copies: 1
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Excel data analysis for dummies / by McFedries, Paul,author.;
Take Excel to the next level. Excel is the world's leading spreadsheet application. It's a key module in Microsoft Office, the number-one productivity suite and it is the number-one business intelligence tool. An Excel dashboard report is a visual presentation of critical data and uses gauges, maps, charts, sliders, and other graphical elements to present complex data in an easy-to-understand format. Excel Data Analysis For Dummies explains in depth how to use Excel as a tool for analyzing big data sets. In no time, you ll discover how to mine and analyze critical data in order to make more informed business decisions. *Work with external databases, PivotTables, and Pivot Charts *Use Excel for statistical and financial functions and data sharing *Get familiar with Solver *Use the Small Business Finance Manager. If you're familiar with Excel but lack a background in the technical aspects of data analysis, this user-friendly book makes it easy to start putting it to use for you.
Subjects: Business; Electronic spreadsheets; Electronic spreadsheets.;
Available copies: 1 / Total copies: 1
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Analysis of categorical data for crossover data / by Atkinson, Susan Shearer.(CARDINAL)216467; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Biostatistics.(CARDINAL)167680;
Includes bibliographical references (pages 244-248).
Subjects: Mathematical statistics.; Crossover trials;
Available copies: 2 / Total copies: 3
On-line resources: Suggest title for digitization;
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Python for data analysis : data wrangling with Pandas, NumPy, and IPython / by McKinney, Wes,author.(CARDINAL)606849;
Preliminaries -- Python language basics, IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraries in python -- Data analysis examples -- Advanced NumPy -- More on the IPython system -- Index.Presents case studies and instructions on how to solve data analysis problems using Python, in a book that explains how to: use the IPython shell and Jupyter notebook for exploratory computing; learn basic and advanced NumPy (Numerical Python) features; get started with data analysis tools in the pandas library; create visualizations with matplotlib; and more.
Subjects: Data mining.; Python (Computer program language);
Available copies: 1 / Total copies: 2
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Results 1 to 10 of 761 |