3 Things to Understand about Data Visualization Technology
Data visualization technology is a huge industry. It is also one of the fastest-growing industries in recent years. There are many different types of data visualization, and each type has its strengths and weaknesses. Understanding these differences will help you choose the right solution for your needs.
This article covers three things that you should understand about data visualization technology before making your decision.
What is Data Visualization Technology?
Data visualization technology is the use of visual representation to communicate information. It can help you find patterns, identify issues in data sets, and provide insights into what factors contribute to those issues.
Types of Data Visualization Technology
Statistical graphics are used to explore data sets qualitatively. They are used for exploratory analysis and do not require any prior knowledge of statistical methods or models.
Statistical Graphics have limitations, however. They don’t show the connections between different variables on a graph like scatter plots. They can be difficult to interpret when there is more than one continuous variable (such as time) over multiple dimensions (such as money spent by the company).
To use these graphics effectively for your business needs, you will need some training in statistics or at least experience with interpreting graphs from other disciplines such as biology.
Geographic maps are a great way to visualize data in the physical world. They are best used when your dataset is about geographic location, such as the population density of each country or where different stores exist.
Geographic maps show which areas have more (or less) access than others and what resources they lack. For example, this map shows that high-rise buildings can get water delivered while those who live in apartment complexes cannot because there is no outdoor area for workers to leave containers with fresh supplies.
Graphs and Charts
Graphs and charts are an effective way to illustrate data:
– What it is.
– How much of it there is.
– Where the differences in numbers have come from.
They’re also great for showing changes over time or between different groups – like comparing two countries’ GDPs on a line graph with red lines indicating one country’s rise and blue lines indicating another’s fall.
Maps are typically used when your dataset includes geographical location, such as population density by each country, or which types of stores exist at certain locations. In addition, maps can help identify areas that need more resources due to lower access levels (like water) than others.
How do they work?
Each type has its own strengths or weaknesses depending on your needs: statistical graphics will be useful for showing trends over time as it allows for an overview that includes all historical values; graphs allow for multiple variables with different scales such as line, bar, pie chart which may be more appropriate than a table showing many numbers.
The Value Proposition That Different Types Offer Your Business
The value proposition that different types of data visualization technology offer businesses are that it can be used to display data in a visual format. This makes the information more appealing and easier to understand for those not accustomed to reading lengthy texts.
Statistical graphics will work well if you want to show trends over time. It allows for an overview that includes all historical values; graphs allow for multiple variables with different scales such as line, bar, pie chart, which may be more appropriate than a table showing many numbers.