Interactive and Dynamic Graphics for Data Analysis With

Read or Download Interactive and Dynamic Graphics for Data Analysis With Examples Using R and GGobi PDF

Best organization and data processing books

JDBC Recipes: A Problem-Solution Approach

JDBC Recipes presents easy-to-implement, usable ideas to difficulties in relational databases that use JDBC. it is possible for you to to combine those strategies into your web-based functions, similar to Java servlets, JavaServer Pages, and Java server-side frameworks. this convenient booklet permits you to minimize and paste the suggestions with none code alterations.

The effects of sterilization methods on plastics and elastomers: the definitive user's guide and databook

This widely up to date moment variation used to be created for clinical machine, scientific packaging, and nutrients packaging layout engineers, fabric product technical aid, and research/development team of workers. This entire databook includes vital features and homes facts at the results of sterilization equipment on plastics and elastomers.

Extra info for Interactive and Dynamic Graphics for Data Analysis With Examples Using R and GGobi

Example text

The tips data is simple. Most of the interesting features can be discovered using static plots. Yet, interacting with the plots reveals more and enables the analyst to pursue follow-up questions. 5). Multiple plots are visible simultaneously, and the highlighting action on one plot generates changes in the other plots. The two additional plots here are spine plots (), used to examine the proportions in categorical variables. For the highlighted subset of dining parties, the ones who rounded the tip to the nearest dollar or halfdollar, the proportion of bill paying males and females is roughly equal, but interestingly, the proportion of smoking parties is higher than non-smoking parties.

6 Whats in this book? 15 The tips data is simple. Most of the interesting features can be discovered using static plots. Yet, interacting with the plots reveals more and enables the analyst to pursue follow-up questions. 5). Multiple plots are visible simultaneously, and the highlighting action on one plot generates changes in the other plots. The two additional plots here are spine plots (), used to examine the proportions in categorical variables. For the highlighted subset of dining parties, the ones who rounded the tip to the nearest dollar or halfdollar, the proportion of bill paying males and females is roughly equal, but interestingly, the proportion of smoking parties is higher than non-smoking parties.

Data is often but not always quantitative, and it is often derived by processing unstructured information. It always includes some attributes or variables such as the number of hits on web sites, frequencies of words in text samples, weight in pounds, mileage in gallons per mile, income per household in dollars, years ✐ ✐ 2 1 Introduction of education, acidity on the PH scale, sulfur emissions in tons per year, or scores on standardized tests. When we visualize data, we are interested in portraying abstract relationships among such variables: for example, the degree to which income increases with education, or the question of whether certain astronomical measurements indicate grouping and therefore hint at new classes of celestial objects.

Download PDF sample

Rated 4.73 of 5 – based on 30 votes