By Kishore K Das and Dibyojyoti Bhattacharjee
The identify «101 Graphical Techniques», itself shows the very goal of the publication. facts visualization or graphical illustration of Statistical information is now an rising subfield of information. notwithstanding numerous graphical ideas existed in statist!cal literature yet a few quite common graphical ideas are stumbled on to copy themselves in just about all books and journals. yet with the advances within the box of know-how using photographs has elevated repeatedly. at the present time, graphical tools play a massive position in all features of statistical investigation-it starts off with explanatory plots, helps a number of levels of research and is helping within the ultimate conversation and demonstrate of effects. nowadays we see vast use of pics in print media, tv information, activities insurance, commercial and so on. And this offers us an idea concerning the improvement of statistical photographs. lots of the fresh types of statistical software program are actually generating high-resolution selfexplanatory pictures and is including variety of extra graphs in each fresh model in their product. even though, the software program programs don't supply adequate textual content to help the aim and interpretation of the particularly much less universal pictures and this in flip limit their use. Social scientists can now get their info analyzed through the use of graphical instruments which are convenient and more straightforward in comparison to different statistical equipment. yet absence of right textual content has hindered the advance of portraits and there use is particular although software program is offered for generating the graphs. The graphical thoughts, if used can decrease loads of calculations that's concerned with different statistical ideas in achieving to a end. a couple of facts analyst and examine employees are looking for a textual content that could act as a torch bearer on the earth of statistical pics. a number of universities of Europe and united states have began to enhance really expert classes on «Data Visualization» or «Statistical Graphics». the fad is quickly going to go into various components of the globe and this ebook 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, show and comparability of information. information units are supplied with many of the plots and proper calculation if any also are proven. The variables thought of alongside the axes are highlighted and the translation of the graph is additionally mentioned. The makes use of of every of the graphical instrument are forwarded besides a few comparable statistical/graphical instruments. * wide element clever dialogue approximately many recognized and unknown graphical instruments * dwell facts set of achieve plot * similar statistical instrument for every plot * is helping the reader to decide on acceptable plot for his/her facts * Illustrations of train graphical software with all correct add-ons
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For this data set we consider weight to be related to the height of the individual and hence we have taken height of the individual along the X-axis. Y Axis: The vertical axis consists of that variable which we consider as the response variable. For this case we took weights along the Y-axis. The third variable is age and is represented by the radius of the circle. Thus the radius of each of the plotted circle is kept proportional to the age of the subject. 4. Advantages (a) The graphs can be used to study the relationship between X and Y variables.
Working Data The data that is used for the plot is taken from David (1971), which gives the number of fishes that are caught in one trap. 1. 3. Calculations and Figure Since the value of the parameter is not provided so one can estimate the value of p, the probability of success, in the usual procedure by using the maximum likelihood estimator which is given by, p A h -x =" It,o, =-,n~ were LJ, . an d accor d·mg Iy estimate t h e expecte d fr cquencles. 4. Axes X Axis: It represents the value of the independent variable.
2. The data is a two way contingency table derived from a 5-way contingency table used in Edwards and Kreiner(1983). The data come from a sample of employed men aged in between 18 and 67, who were asked whether, in the preceding year, they had carried out any work on their homes. ' Lcgand 3 2 Unskilled 0 -1 Office -2 -3 Fig. 1. 3. Advantages (a) This plot is useful for visual representation ofdata arranged in the form ofcontingency tables. (b) The plot is useful in identification of the cells in which the difference between observed and expected values is more.