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Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11] Statistician John Tukey, defined data analysis in 1961, as:
Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.
Comparing data on barcharts is generally much easier. In the image below, it is very hard to tell where the blue sector is bigger than the green sector on the piecharts. Three sets of percentages, plotted as both piecharts and barcharts. Comparing the data on barcharts is generally much easier.
Image credits: Tiberius_Jim If there’s anyone that knows all about customer service, it’s Shep Hyken.He’s done endless amounts of research, written best-selling books, trained people, and ...
While many scientific investigations make use of data, statistics is generally concerned with the use of data in the context of uncertainty and decision-making in the face of uncertainty. [ 12 ] [ 13 ] Statistics is indexed at 62, a subclass of probability theory and stochastic processes, in the Mathematics Subject Classification. [ 14 ]
Digital banking opens up more competitive rates and fewer fees than your neighborhood brick-and-mortar bank, and robust apps make it easy to keep an eye on your balance, manage money among ...
Likewise, the staff artists at USA Today, the United States newspaper that debuted in 1982, established the goal of using graphics to make information easier to comprehend. However, the paper has received criticism for oversimplifying news stories and for creating infographics that some find emphasizes entertainment over content and data.
Metadata means "data about data". Metadata is defined as the data providing information about one or more aspects of the data; it is used to summarize basic information about data that can make tracking and working with specific data easier. [15] Some examples include: Means of creation of the data; Purpose of the data; Time and date of creation