By Kishore K Das and Dibyojyoti Bhattacharjee
The identify «101 Graphical Techniques», itself shows the very goal of the booklet. facts visualization or graphical illustration of Statistical facts is now an rising subfield of facts. although quite a few graphical ideas existed in statist!cal literature yet a few quite common graphical recommendations are came upon to duplicate themselves in just about all books and journals. yet with the advances within the box of know-how using portraits has elevated again and again. at the present time, graphical equipment play a massive function in all points of statistical investigation-it starts with explanatory plots, helps numerous phases of research and is helping within the ultimate communique and exhibit of effects. nowadays we see large use of photos in print media, tv information, activities insurance, commercial and so forth. And this offers us an idea concerning the improvement of statistical photos. lots of the fresh types of statistical software program at the moment are generating high-resolution selfexplanatory pictures and is including variety of extra graphs in each fresh model in their product. even if, the software program applications don't offer adequate textual content to aid the aim and interpretation of the particularly much less universal snap shots and this in flip limit their use. Social scientists can now get their information analyzed by utilizing graphical instruments which are convenient and more uncomplicated in comparison to different statistical tools. yet absence of right textual content has hindered the advance of photographs and there use is specific even if software program is obtainable for generating the graphs. The graphical concepts, if used can lessen loads of calculations that's concerned with different statistical concepts in achieving to a end. a couple of information analyst and examine staff are looking for a textual content which could act as a torch bearer on the earth of statistical snap shots. a variety of universities of Europe and united states have began to boost really good classes on «Data Visualization» or «Statistical Graphics». the fashion is quickly going to go into diverse components of the globe and this e-book may be thought of a convenient fabric for «Statistical Graphics». The e-book includes of 10 I statistical plots that may be used for research, exhibit and comparability of information. facts units are supplied with lots of the plots and correct calculation if any also are proven. The variables thought of alongside the axes are highlighted and the translation of the graph can be mentioned. The makes use of of every of the graphical device are forwarded besides a few similar statistical/graphical instruments. * wide element clever dialogue approximately many identified and unknown graphical instruments * reside info set of achieve plot * comparable statistical instrument for every plot * is helping the reader to settle on acceptable plot for his/her information * Illustrations of educate graphical device with all correct components
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F Sam. 5 Sam 6 Sam. 8 -003 ~ -004 -005 --006 -D 07 • • • • 0 •I 2 3 ~ 5 6 , • • 8 9 10 • Sample IdentIfier Fig. 1. 1 The plot Sh011'S that the allto covarwnce :s' ShOll'S wide variation OWl' the samples. 3. Axes X Axis: The axis is used for representing the sample identification number. Y Axis: The vertical axis is used to represent the auto covariance of the different samples. 4. same population changes over different samples. (b) It provides a quick check whether the observations are related to an adjacent observat ion.
Bodies Fig. 1. 3. Axes X Axis: It represents the various categories corresponding to which the valuE;s are provided. Y Axis: The vertical axis consists of that variable which we consider a" the response variable. For this case we took the number of persons along the Y axis. The bars may be allowed to extend from the Y axis as well and in such a case the representation of the axes will get inverted. 4. Uses (0) Bar diagrams are widely used techniques of data representation especially in cases where the magnitudes of one or more variables under different categories (or classes) arc to be compared.
Though the diagram use~ both the axes but it is one dimensional as its originating axes is not ordered but is only used to space the bars out. However the bars are difficult to draw in case there are a large number of heads or categories. 2. Working Data The working data consists of the total expenditure by the Indian Government during the First and Second five year plans in the field of education. The components of the total expenditure under various heads are also shown. 1: Data showing the total outlay of expenditure during the first and second five year plans lleads 7()/(/1 E>;/)c/7(lilurc Firs/PIal/ (111 Rs Croresj Sccond 1'1011 I Elementary Education 93 XL) 2.
101 Graphical Techniques by Kishore K Das and Dibyojyoti Bhattacharjee