Data Visualization | Everything Explained You Need to Know!

Data visualization involves transferring information into a visual context such as a map or graph to facilitate understanding and understanding of the human brain. The main objective of visualización de datos is to facilitate the identification of patterns, trends, and appearances in a large data set. The term is often used interchangeably with others, including data graphs, data visualization, and statistical graphs.

Data visualization is one of the steps in the information process that the data must be visualized to draw conclusions after collection, processing, and modeling. Data visualization is also an element of the broader discipline of data presentation architecture (DPA), which focuses on identifying, placing, manipulating, formatting, and delivering data as efficiently as possible.

Why Is Data Visualization Important?

Data visualization provides a fast and efficient way to convey information universally using visual information. The practice also helps companies to identify factors that affect customer behavior; Identify areas needing improvement or more attention; make information memorable for stakeholders; understand when and where to place specific products; and expected sales volume.

Data Visualization And Big Data

The growing popularity of Big Data and data analytics projects has made visualization more important than ever. Businesses are increasingly using machine learning to collect large amounts of data that can be sorted, understood, and explained. Visualization offers a tool to speed up this work and provide information to business owners and stakeholders in a way that they can understand.

Common Use Cases For Data Visualization Include

Big data visualization goes beyond the usual techniques used in personalized visualization, such as pie charts, histograms, and business graphs. Instead, it uses more complex images, such as heat maps and heating graphics. Big data visualization requires powerful computer systems to collect powerful data, process it, and transform it into graphical images that people can use to quickly understand.

Sales and Marketing

A study by the Magna news agency predicts that by 2020, half of the world's advertising dollars will be spent on the Internet. Therefore, marketing teams need to focus on the sources of web traffic and how their web features generate revenue. Data visualization makes it easier to see the traffic trend over time following a marketing movement.

Health Care

Healthcare professionals often use choropleth cards to view important health information. A choropleth map shows regions or areas that receive a specific color compared to a numeric variable. Choropleth maps allow professionals to see how variables such as mortality from heart disease change in specific areas.

Finance

Finance professionals should monitor the implementation of their investment decisions when they choose to buy or sell an asset. Candlestick charts are used as a trading tool and help finance professionals analyze price changes over time that reflect important information such as stocks, derivatives, currencies, stocks, bonds, and raw materials. By analyzing price trends over time, data analysts and financial experts can identify trends.

Data Scientists And Researchers

Visualization constructed by an information scientist is generally used by the scientist himself or to present the information to a selected audience. The visual images are constructed using libraries for viewing programming languages ​​and selected tools. Data scientists and researchers often use open source programming languages ​​such as Python or special tools designed for the analysis of complex data. Visualizing the data performed by these scientists and data seekers will help them understand the data sets and identify patterns and trends that would otherwise have been overlooked.

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Wolliam Joined: October 17th, 2019