Writers of statistics textbooks tend to copy other textooks rather than draw on experience. This leaves a serious ap: Techniques that are highly useful in practice are not aught. With this series of columns I am trying to fill that ap. The first column [1] pointed out that doing something imperfect) is better than doing nothing. The second [2] was bout the value of transforming your data. A thi...

We introduce a new visualization method for temporal data, Spiral Theme Plot, by combining ThemeRiver method, spiral patterns, and scatter plot technique. Similar to ThemeRiver, data in different categories (themes) are visualized in different bands, but also in a spiral pattern. Themes are stacked along a spiral curve, which represent the time axis. Individual data points are plotted within th...

Computer-assisted interactive visualization has become a valuable tool for discovering the underlying meaning of tabular data, including categorical tabular data. The capabilities of the more traditionally mundane kinds of pictures like scatter plots can be expanded to usefully depict categorical tabular data by incorporating annotations and transforms, and by integrating the extensions into an...

in order to study planting date impacts and ending season drought stress  on grain yield and  gaining weight  rate  and wheat filling period characteristics in new advanced bread wheat genotypes ,this research  is done by using plan statistical  of spilt plot  in form of complete random blocks basic  plot with 3 replications in both common separated irrigation  and ending season drought  stress...

Abstract This research aims to study the effect of number harvest rows under two digging depths and cultivars on quality harvesting potatoes (damage losses). The experiment was factorial, using a randomised complete block design with split-split plot three replications for each treatment. types were placed in main plot, type digger secondary split depth plot. results showed no significant diffe...