Let's Talk About Data Visualization 101
Let's Talk About Data Visualization 101
Data Visualization 101 Crash Course
In our modern world, we have access to a ton of information gathered from different places like business dealings, scientific tests, or social media. But this information often looks like a bunch of numbers and can be confusing. That's when data visualization steps in to make things easier!
What is data visualization?
Data visualization means presenting information in a way that's interesting and easy to understand. It's like turning data into pictures, like charts or maps, so that anyone looking at it can quickly grasp what the data is trying to say.
How Does Data Visualization Work?
When we share data using plain text, it can be confusing and uninteresting. But when we use visuals like charts and graphs, it makes it much easier for people to understand the information.
Data visualization helps us see patterns, trends, and connections in the data that might be hard to spot otherwise.
Types of Data Visualization
Data visualization comes in two main flavours: static and interactive. People have been using static data visualization like charts and maps for a long time.
Interactive data visualization is a bit newer. It allows people to dig deeper into charts and graphs using their computers and mobile devices. They can interactively change what data they see and how it's presented.
Time Series Visualization
Time series visualization is all about tracking data or performance over a period of time. This is important because one of the main reasons for using data visualization is to show how things change over time.
Examples of Time Series Data Visualization
There are several ways to represent time-series data visually. Here are some examples to help you understand which visuals fall into the category of time series:
Line chart
Bar chart
Area chart
Bullet graph
In conclusion, data visualization comes in two main types: static and interactive. Static visuals like charts and maps have been around for a while, while interactive ones allow us to explore data in more depth on our devices.
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