… How we summarize data is affected by data availability and data quality. Sometimes we have
to present more data than we would like because we need to use several less than optimal …

… at types of data and the methods used to describe or summarize data. Data is defined as ‘…
As statistics begins with data collection, understanding data is important, as it will help apply …

… -founded approach for succinctly summarizing data with a collection of … data accordingly.
As we only include itemsets that are surprising with regard to the current model, the summary is …

In this chapter we discuss how to use descriptive statistical techniques, or techniques employed
for data description, for summarizing the sample distribution of a variable. Interest will …

… data greatly determines our expectations, and therefore, what results we would find interesting
and/or surprising. Given new knowledge about the data, … succinctly summarizing data with …

… types of data: categorical and numerical. Numerical data are usually summarized and presented
by … For normally distributed data, arithmetic mean and standard deviation are used. For …

… a “middle clump” to summarize a distribution of … data they commonly encounter on the job.
Our primary motivation for learning more about the ways students choose to summarize data is …

A Bottom-sketch is a summary of a set of items with … items lie in some metric space such as
data streams (time) or networks. … and develop and analyze data structures that incrementally …

… A large amount of data without processing and summarizing is not … summarize the
application of different types of descriptive indexes in Table 3.8 according to the type of data…

… This chapter deals with how to summarize data. Once the data have been collected, they …
There are many different graphical methods that can be used to summarize data. The chapter …