> For the complete documentation index, see [llms.txt](https://vecco-insight.gitbook.io/crash-visualization/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://vecco-insight.gitbook.io/crash-visualization/part-1-introduction-of-data-visualisation/why-visualisation-is-important.md).
# 1.2 Why does visualization matter?
**The world produces 2.5 quintillion bytes of data every day, and 90% of all data has been created in the last two years.** The increased popularity of big data and data analysis projects have made visualization more important than ever. It is unlikely for any single person to wade through data line-by-line and make observations.
### Better illustrate insights
Data visualization can illustrate insights better than traditional descriptive statistics ways. A perfect example of this is [Anscombe’s Quartet](https://en.wikipedia.org/wiki/Anscombe%27s_quartet), created by Francis Anscombe in 1973. The table includes four different datasets with almost identical variance, mean, a correlation between X and Y coordinates, and linear regression lines. **All four sets are identical when examined using simple summary statistics. It's hard to catch distinct patterns.**
**However, the patterns vary considerably in visualization.** You can see a linear regression model applies to graphs x1 and x3, but a polynomial regression model fits for x2. The graph x4 shows a high correlation coefficient, even though the other data points do not indicate any relationship between the variables.
### **Common use cases**
* **Sales and marketing.** Research from the media agency Magna predicts that 50% of all global advertising dollars will be spent online by 2020. As a result, marketing teams must pay close attention to sources of web traffic and how their web properties generate revenue. Data visualization makes it easier to see traffic trends over time as a result of marketing efforts.
* **Politics.** A common use of data visualization in politics is a geographic map that displays the party each state or district voted for.
* **Finance.** Finance professionals must track the performance of their investment decisions. For example, the candlestick chart is used to analyze price movements over time and display essential trends.
