| Main Title |
Visualize this : the FlowingData guide to design, visualization, and statistics / |
| Author |
Yau, Nathan.
|
| Publisher |
Wiley Pub., |
| Year Published |
2011 |
| OCLC Number |
670479801 |
| ISBN |
9780470944882; 0470944889; 9781118140246 (ebk.); 1118140249 (ebk.); 9781118140260 (ebk.); 1118140265 (ebk.); 9781118140253 (ebk.); 1118140257 (ebk.) |
| Subjects |
Statistics--Graphic methods--Data processing ;
Graphic methods--Computer programs ;
Mâethodes statistiques ;
Traitement âelectronique des donnâees ;
Donnâees statistiques ;
Informatique ;
Graphiques ;
Manuels ;
Logiciels ;
Statistik--(DE-588)4056995-0 ;
Visualisierung--(DE-588)4188417-6 ;
Graphische Darstellung--(DE-588)4129552-3 ;
Computergraphik ;
Datenanalyse
|
| Additional Subjects |
FlowingData
|
| Internet Access |
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| EKBM |
QA276.3.Y18 2011 |
|
Research Triangle Park Library/RTP, NC |
07/16/2012 |
| ELBM |
QA276.3.Y18 2011 |
|
AWBERC Library/Cincinnati,OH |
11/03/2014 |
|
| Collation |
xxvi, 358 pages : color illustrations, color maps ; 24 cm |
| Notes |
Includes bibliographical references and index. |
| Contents Notes |
Telling stories with data. More than numbers ; What to look for ; Design -- Handling data. Gather data ; Formatting data -- Choosing tools to visualize data. Out-of-the-box visualization ; Programming ; Illustration ; Mapping ; Survey your options -- Visualizing patterns over time. What to look for over time ; Discrete points in time ; Continuous data -- Visualizing proportions. What to look for in proportions ; Parts of a whole ; Proportions over time -- Visualizing relationships. What relationships to look for ; Correlation ; Distribution ; Comparison -- Spotting differences. What to look for ; Comparing across multiple variables ; Reducing dimensions ; Searching for outliers -- Visualizing spatial relationships. What to look for ; Specific locations ; Regions ; Over space and time -- Designing with a purpose. Prepare yourself ; Prepare your readers ; Visual cues ; Good visualization. Presents information on ways to present data with visual representations, covering such topics as data sources, visualization tools, proportions, and spatial relationships. |
