Summarizing Data using Histograms
A histogram is a data representation format which makes use of bar graphs to describe the frequency of occurrence of the event being studied. It also represents necessary and relevant basic information about the data classes such as the data spread, shape and skewness.
Histograms serve as one of the best ways to represent data in a summarized form. Being fairly easy to construct than other forms of representative charts, histogram generated results are also slightly more interesting than the table-format display of the data. These types of charts are significant for assessing current situation and for devising ways to improve the same. Even after executing the improvement methods, histograms can be created to study the impact of the methods applied.
While making use of descriptive statistics such as mean, standard deviation, chi square, kurtosis and others, the histograms can be significantly interpreted to judge the normality of data distribution.
Vincent A. Solis, 
Joel, 
John R. Rooks, and 1 other are discussing. 
Alex 11:25 am on June 2, 2014 Permalink |
Not just easy to prepare, they are the most appropriate for summarizing quantitative data.
Joel 9:54 am on September 5, 2014 Permalink |
Right Alex they are one of the most relevant and easy way to encapsulate the quantitative data.
John R. Rooks 6:29 am on August 6, 2014 Permalink |
Histograms are best to be used when your data can be described by the use of not more than 2 variables.
Vincent A. Solis 5:04 am on September 29, 2014 Permalink |
It is really easy to present data through histograms.