By Kishore K Das and Dibyojyoti Bhattacharjee
The name «101 Graphical Techniques», itself exhibits the very objective of the booklet. facts visualization or graphical illustration of Statistical information is now an rising subfield of records. even though a variety of graphical strategies 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 know-how using pics has elevated time and again. this present day, graphical tools play a massive position in all points of statistical investigation-it starts off with explanatory plots, helps quite a few levels of research and is helping within the ultimate verbal exchange and show of effects. nowadays we see large use of photographs in print media, tv information, activities insurance, commercial and so forth. And this provides us an concept concerning the improvement of statistical pix. many of the contemporary models of statistical software program at the moment are generating high-resolution selfexplanatory portraits and is including variety of extra graphs in each contemporary model in their product. even if, the software program programs don't supply enough textual content to help the aim and interpretation of the particularly much less universal photos and this in flip limit their use. Social scientists can now get their info analyzed by utilizing graphical instruments which are convenient and more uncomplicated in comparison to different statistical equipment. yet absence of right textual content has hindered the advance of images and there use is particular even if software program is obtainable for generating the graphs. The graphical ideas, if used can decrease loads of calculations that's concerned with different statistical innovations 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 planet of statistical portraits. numerous universities of Europe and united states have began to improve really good classes on «Data Visualization» or «Statistical Graphics». the fashion is quickly going to go into various elements of the globe and this publication 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 knowledge. facts units are supplied with lots of the plots and suitable calculation if any also are proven. The variables thought of alongside the axes are highlighted and the translation of the graph can also be mentioned. The makes use of of every of the graphical instrument are forwarded besides a few similar statistical/graphical instruments. * wide aspect clever dialogue approximately many recognized and unknown graphical instruments * dwell information set of achieve plot * comparable statistical software for every plot * is helping the reader to settle on applicable plot for his/her info * Illustrations of train graphical instrument with all proper add-ons
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Extra resources for 101 Graphical Techniques
University Education ~ 3. Secondary Education 5. Social Education ~ 4. iJ 6. Admmistrative and Miscellaneous o Fig. 1. 4. Uses (a) This type of bar diagrams is widely used techniques of data representation especially in cases when the values of the response variable are to be compared along with the component parts. (b) This diagram is simple to draw and almost all the statistical software provides the option of drawing it. 5. Related Techniques (a) Simple Bar Diagram, (b) Multiple Bar Diagram, (c) Histogram, (d) Impulse Chart, and (e) Pie Chart.
1. Description of the Plot Sub-divided bar chart is also called as sub-divided bar diagram or component bar diagram. Such diagrams are used for comparing the sizes of a given response variable under different categories along \vith the different cOIllPonent parts among themselves. Thus a relation between each part and the whole Illay also be visualized. Here based on the value of the response variable under a particu lar category a thick bar is drawn II ith its base as X-axis. This bar is divided into several components based on their magnitude in a cumulative fashion.
C) ANOVA can be applied only if the data satisfies certain assumptions but for a graphical representation no such assumption is required. 5. Disadvantages (a) The block plot is difficult to draw manually. (b) Commonly used statistical software does not provide the option ofdrawing the plot. 6. Related Techniques (a) Jittered Plot, (b) ANOYA, and (c) Bihistogram. a Box Plot 31 14. 1. Description of the Plot The box plots are simple to draw and can provide the visualization of at least five values from the set ofdata.