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Modern software applications give users the ability to generate, format, and edit tables and tabular data for a wide variety of uses, for example: word processing applications; spreadsheet applications; presentation software; tables specified in HTML or another markup language
Whereas statistics and data analysis procedures generally yield their output in numeric or tabular form, graphical techniques allow such results to be displayed in some sort of pictorial form. They include plots such as scatter plots , histograms , probability plots , spaghetti plots , residual plots, box plots , block plots and biplots .
A chart can represent tabular numeric data, functions or some kinds of quality structure and provides different info. The term "chart" as a graphical representation of data has multiple meanings: A data chart is a type of diagram or graph, that organizes and represents a set of numerical or qualitative data.
use of visuals over the tabular presentation of data; bar charts: to visualize one or more series of data; line charts: to track changes in several dependent data sets over a period of time; sparklines: to show the trend in a single data set; scorecards: to monitor KPIs and trends; use of legends anytime more than one color or shape is present ...
Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...
A biplot allows information on both samples and variables of a data matrix to be displayed graphically. Samples are displayed as points while variables are displayed either as vectors, linear axes or nonlinear trajectories. In the case of categorical variables, category level points may be used to represent the levels of a categorical variable.