Difference Between Data Mining and Data Visualization Last Updated : 30 Sep, 2022 Comments Improve Suggest changes Like Article Like Report Data mining: Data mining is the method of analyzing expansive sums of data in an exertion to discover relationships, designs, and insights. These designs, concurring to Witten and Eibemust be "meaningful in that they lead to a few advantages, more often than not a financial advantage." Data in data mining is additionally ordinarily quantitative particularly when we consider the exponential development in data delivered by social media later a long time, i.e. big-data. Data Visualization: Data Visualization is the representation of data within the frame of the chart, chart, picture, etc. These are made as the visual representation of information. It makes a difference a parcel to choice makes to see the analytics displayed outwardly, so they can work in like manner and can get a handle on the troublesome concept or recognize modern designs. Below is a table of differences between Data Mining and Data Visualization: Data Mining Data Visualization Searches and produces a reasonable result from huge information chunks. Gives a basic diagram of complex information This is often has diverse applications and favored for web search engines. Preferred for information determining and forecasts Data mining Comes beneath data science. Data Visualization Comes beneath the range of data science Worked with web computer program frameworks or applications . Supports and works way better in complex data examinations and applications Modern innovation but underdeveloped. More valuable in genuine time information estimating Numerous algorithms exist in utilizing data mining. No require of utilizing any algorithms Runs on any web-enabled stage or with any applications . Irrespective of equipment or computer program, it gives visual data Application is display satellite data information, research results information, scientifically studied data The applications of the Information mining are web search engines, retail, money related and banking businesses, government organizations etc. Comment More infoAdvertise with us Next Article Difference Between Data Mining and Data Visualization A avengerjanus123 Follow Improve Article Tags : Difference Between Data Visualization AI-ML-DS data mining Similar Reads Difference Between Data Science and Data Visualization Data Science: Data science is study of data. It involves developing methods of recording, storing, and analyzing data to extract useful information. The goal of data science is to gain knowledge from any type of data both structured and unstructured. Data science is a term for set of fields that are 2 min read Difference Between Data Science and Data Mining Data Science: Data Science is a field or domain which includes and involves working with a huge amount of data and uses it for building predictive, prescriptive and prescriptive analytical models. It's about digging, capturing, (building the model) analyzing(validating the model) and utilizing the d 6 min read Difference Between Data Visualization and Data Analytics Data Visualization: Data visualization is the graphical representation of information and data in a pictorial or graphical format(Example: charts, graphs, and maps). Data visualization tools provide an accessible way to see and understand trends, patterns in data and outliers. Data visualization too 3 min read Difference between Data Warehousing and Data Mining A Data Warehouse is built to support management functions whereas data mining is used to extract useful information and patterns from data. Data warehousing is the process of compiling information into a data warehouse. The main purpose of data warehousing is to consolidate and store large datasets 5 min read Difference Between Data Mining and Statistics Data mining: Data mining is the method of analyzing expansive sums of data in an exertion to discover relationships, designs, and insights. These designs, concurring to Witten and Eibemust be “meaningful in that they lead to a few advantages, more often than not a financial advantage.†Data in data 2 min read Difference between Data Visualization and Business Intelligence Data visualization is one of the analytical tools used in data science and it simply refers to the process of representing data graphically to allow data communications and expression of patterns. The tool aims to make the charts, graphs, and maps simple to understand as well as to discover the fact 8 min read Difference Between Big Data and Data Mining Big Data: It is huge, large or voluminous data, information or the relevant statistics acquired by the large organizations and ventures. Many software and data storage created and prepared as it is difficult to compute the big data manually. It is used to discover patterns and trends and make decisi 3 min read Difference between Data Mining and OLAP 1. Data Mining : Data mining is defined as a process used to extract usable data from larger set of any raw data. Some key features of data mining are - Automatic Pattern Prediction based on trend and behavior analysis. Predictions based on likely outcomes. creation of decision Oriented Information. 2 min read Difference Between Data Science and Data Engineering Data Science: The detailed study of the flow of information from the data present in an organization's repository is called Data Science. Data Science is about obtaining meaningful insights from raw and unstructured data by applying analytical, programming, and business skills. Data Science is an in 6 min read Difference between Spatial and Temporal Data Mining Data Mining is an information discovery process that integrates the organization of large databases to discover implicit patterns that have significant value. Spatial data mining and temporal data mining are two important sub-disciplines in data mining as both of them involve data having either spat 5 min read Like