By Kishore K Das and Dibyojyoti Bhattacharjee
The name «101 Graphical Techniques», itself exhibits the very goal of the booklet. info visualization or graphical illustration of Statistical information is now an rising subfield of data. even though numerous graphical suggestions existed in statist!cal literature yet a few quite common graphical ideas are chanced on to duplicate themselves in just about all books and journals. yet with the advances within the box of expertise using portraits has elevated repeatedly. this day, graphical equipment play a major function in all elements of statistical investigation-it starts with explanatory plots, helps quite a few levels of research and is helping within the ultimate communique and exhibit of effects. nowadays we see broad use of pics in print media, tv information, activities insurance, commercial and so forth. And this provides us an concept concerning the improvement of statistical pics. lots of the contemporary models of statistical software program at the moment are generating high-resolution selfexplanatory pix and is including variety of extra graphs in each contemporary model in their product. in spite of the fact that, the software program applications don't supply enough textual content to help the aim and interpretation of the particularly much less universal pics and this in flip limit their use. Social scientists can now get their information analyzed through the use of graphical instruments which are convenient and more uncomplicated in comparison to different statistical tools. yet absence of right textual content has hindered the improvement of snap shots and there use is specific although software program is out there for generating the graphs. The graphical strategies, if used can decrease loads of calculations that's concerned with different statistical options in achieving to a end. a couple of facts analyst and examine employees are looking for a textual content which may act as a torch bearer on the earth of statistical snap shots. numerous universities of Europe and united states have began to strengthen really expert classes on «Data Visualization» or «Statistical Graphics». the fashion is quickly going to go into varied components of the globe and this booklet might be thought of a convenient fabric for «Statistical Graphics». The publication contains of 10 I statistical plots that may be used for research, show and comparability of knowledge. information units are supplied with lots of the plots and appropriate calculation if any also are proven. The variables thought of alongside the axes are highlighted and the translation of the graph is usually mentioned. The makes use of of every of the graphical instrument are forwarded besides a few similar statistical/graphical instruments. * broad aspect clever dialogue approximately many recognized and unknown graphical instruments * dwell info set of succeed in plot * comparable statistical device for every plot * is helping the reader to decide on applicable plot for his/her information * Illustrations of educate graphical instrument with all correct components
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Additional info for 101 Graphical Techniques
The Y axis of the plot consists of the response variable and the X axis consists of all combinations of the secondary factors. The graph comprises of some floating rectangles. The base of the rectangle starts at the lower value of the primary factor and ends at the higher value ofthe primary factor for a particular combination of the secondary factors. The codes for the various levels ofthe primary factors (which are generally integers) are written in the blocks in order to identify its position.
X axis and proceed along the Y axis, with its length being proportional to the value of the response variable corresponding to each sub-category. However, the widths of the bars are equal. Any two categories are separated by an equal width to understand the difference between the various categories. Bars corresponding to different sub-categories are differently ~haded and/or colored. Sometimes the bars are also placed horizontally and not vertically. Generally vertical bars are used to represent time series data or data classified by the values of a variable while horizontal bars are used to depict data classified by attributes only.
_---- -- ,,--- ------- ---- -_.. _-------- _... ----- Lag Fig. 1. 4. Advantages (a) The main advantage ofthe plot is to check if the data is random. The randomness is a gate keeper to many statistical tests and techniques. Thus the tool can be considered as a quick check to this feature. (b) It provides a quick check whether the observations are related to an adjacent observation. (c) The autoregressive nature in case of time series data can be put to check in this plot. 5. Disadvantages (a) The plot calls for a lot of computation.
101 Graphical Techniques by Kishore K Das and Dibyojyoti Bhattacharjee