Table of Contents
Are data visualization and information visualization same things?
Both are related but not the same concept. Information visualization is about emphasizing data which is important for your business. In that manner, infographics are good samples of information visualization. On the other hand, data visualization is more likely graphically showing raw data.
What is the difference between Data Mining and Data Visualization?
Data Mining and Data Visualization are different fields of Data Science. Data mining is a process to analyze large data sets using machine learning, statistics, and algorithms to clustering, classifying and summarizing the data. After that hard process, the extracted information is important to understand and visualize.
As we described data visualization as storytelling with data using visual components and data. So, with the help of data visualization, you can highlight these results of data mining or even the process can be visualized by using the right tools.
What are the different types of data visualization?
I would say its unlimited because custom visualization and the power of text are both underestimated. But the common understanding or categorization is listed like below;
Why is data visualization important?
The process of data analysis in large data sets is hard and you cannot expect everyone to understand it as data analysts do. Data visualization is the easiest way of telling analysis results to anyone. You can speed things up in your business by clearly visualizing information.
What is Data Visualization in Business Analytics?
Business analytics is the tool to get insights based on your business data. By using the results of this analysis, you can evaluate your operation and make decisions. BI tools use data dashboards and charts for visualizing insights into your business.
What is a data visualization dashboard?
Data visualization dashboards can be considered as the most engaging and interactive data visualization tool that offers various types of data analysis in an up to date way for your business-critical data.
What are data visualization techniques?
There are no standard data visualization techniques. Using common charts, running analysis, using fancy UI designs are not techniques or ways that you are looking for. However, you can use some help from following tips;
- Use colors; contrast colors to highlight categories, complementary colors to emphasize differences in the same category.
- Do not underestimate the power of words/text.
- Use size and thickness for grouping
- Group your data concerning similarities and differences
What is data analysis and visualization?
Data analysis is the process of converting your data to information. Patterns in your data are identified in this way. You can extract a simplified data set as an output of this analysis. These results are more likely to make sense for data visualization tools. So, you can have clear and simple visuals that represent focused information.
What are data visualization tools?
d3.js (Custom Visualization)
HighCharts (Standard Charts)
This is the most popular chart library between developers with a low learning curve and clear documentation. Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.
Tableau (Enterprise/Compact Big Data Solution)
This is the most popular big data visualization tool on the market. It provides a complete solution for your business with great support.
What does a data visualization specialist do?
Data Visualization Specialists translates the large data sets to the statistical business data in a visual way to represent important information. They are experts on statistics and visualization tools.
How do you know which graph to use?
Each graph or chart has a way of showing data. You have to know what you want to tell to pick the right chart. As for comparisons, similarities, and changes in time indicate different information, you have lots of options to visualize them. Check this great catalog for that.