Everyone knows how important it is to monitor and evaluate the natural, human and financial resources available to any type of business.

Visualizing the numbers has a crucial meaning to analyze and estimate. Psychologically it is more intuitive and helps a deep understanding of the data that is represented by numbers.

A simple and flexible web-based application that converts and displays user-defined numbers into different types of interactive charts.

General description:

Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (eg, points, lines, or bars) contained in graphs. The goal is to communicate information clearly and effectively to users. It is one of the steps in data analysis or data science. According to Friedman (2008), “the main goal of data visualization is to communicate information clearly and effectively through graphic means. It does not mean that data visualization has to look boring to be functional or extremely sophisticated to look beautiful. ideas effectively, both aesthetic form and functionality must go hand in hand, providing insight into a rather sparse and complex data set by communicating its key aspects in a more intuitive way. However, designers often fail to achieve a balance between form and function, creating beautiful data visualizations that don’t serve their primary purpose: to communicate information “

To communicate information clearly and efficiently, data visualization uses statistical charts, diagrams, information graphics, and other tools. Numerical data can be encoded using dots, lines, or bars to visually communicate a quantitative message. It makes complex data more accessible, understandable, and usable. Users can have particular analytical tasks, such as making comparisons or understanding causality, and the chart design principle (that is, show comparisons or show causality) follows the task. Tables are generally used when users will search for a specific measure, while charts of various types are used to show patterns or relationships in the data for one or more variables.

Data visualization is an art and a science. Some see it as a branch of descriptive statistics, but others also as a grounded theory development tool. The increased amount of data created by Internet activity and an increasing number of sensors in the environment are called “big data” or Internet of things. Processing, analyzing and communicating this data presents ethical and analytical challenges for data visualization. The data science field and professionals called data scientists help address this challenge.