We all work with data. Smart decisions can’t be made without data. It’s safe to say that data make the work go around. Just imagine if there weren’t any data. Where would we all be? We’d all be back in the dark ages where our survival was based merely on hunting for food. We have definitely gone a long way since then because our survival now relies on data.
Nowadays, the data industry has grown immensely. From data practitioners to data scientists, several skill sets have been created to deal solely with data.
In this huge data community, there are two terms that are bit confusing. These two data terms are data analysis and data visualization. What’s the difference between the two?
We often hear about data analysis in the workplace. It’s a term that’s used all the time. The question is, what really is data analysis? Is it really just analyzing the data that’s made available?
It really takes more than just analyzing available data. It’s not enough to say that we all have to look deeper into the data to get insightful answers or solutions. Data analysis is a fact-finding process to discover something relevant.
Data visualization may sound new. Nonetheless, it's a very significant and specific task in the wonderful world of data.
Is one more important than the other? Of course not. Both are greatly important in the world of data. As a matter of fact, one can't do without the other.
Both data analysis and data visualization are important in coming up with cutting-edge findings. With the exponential growth in data, data visualization makes it easier for us to get a representation of what we need exactly from the raw data. Since data visualization transforms critical information into charts, graphs, videos, and images we are able to understand the numbers and eventually gain valuable insights from them.
The data world is so huge these days that we all need various ways to create value out of them. Both data analysis and data visualization are ways to make use of the abundant information that’s available out there.
That just goes to show the importance of data in everyday life. We simply cannot make sense of the available data if we don’t protect them. It’s a no-brainer. We won’t be able to analyze data, more so visualize them, if we don’t protect them.
When it comes to data, especially big data, protecting them is the first thing we should consider. How do we do that? We should be aware of how we can recover data in case something happens to our computers.
While we can do our own little way to recover data, big data recovery should be left to the experts at https://www.harddriverecovery.org/data-recovery-services.html. When it comes to big data recovery, the experts know better.
The following post Data Analysis Vs. Data Visualization: What’s The Difference? was originally published to Hard Drive Recovery Group
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