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v. t. e. Data and information visualization ( data viz/vis or info viz/vis) [ 2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [ 3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.
Statistical inference is the process of using data analysis to infer properties of an underlying distribution of probability. [ 1] Inferential statistical analysis infers properties of a population, for example by testing hypotheses and deriving estimates. It is assumed that the observed data set is sampled from a larger population.
A pie chart (or a circle chart) is a circular statistical graphic which is divided into slices to illustrate numerical proportion. In a pie chart, the arc length of each slice (and consequently its central angle and area) is proportional to the quantity it represents. While it is named for its resemblance to a pie which has been sliced, there ...
Task 1: test takers describe a graph, table, chart, map, process, pie chart or diagram in their own words. Task 2: test takers discuss a point of view, argument, or problem. Depending on the task, test takers may be required to present a solution to a problem, present and justify an opinion, compare and contrast evidence, opinions and ...
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Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [ 1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...
The Google Chart API allows a variety of graphs to be created. Livegap Charts creates line, bar, spider, polar-area and pie charts, and can export them as images without needing to download any tools. Veusz is a free scientific graphing tool that can produce 2D and 3D plots. Users can use it as a module in Python.
The theory of statistics provides a basis for the whole range of techniques, in both study design and data analysis, that are used within applications of statistics. [1] [2] The theory covers approaches to statistical-decision problems and to statistical inference, and the actions and deductions that satisfy the basic principles stated for these different approaches.