Trend Analysis

Data Visualization allows the analyst to “see the trend” before analyzing the data in detail and to take advantage of the human eye’s ability to recognize trends quickly. Good trend analysis requires a well designed database for time series (or other well ordered data sets) and data visualization of that data in form of Motion Charts and Time Series.

You can see Motion, Timeline, Sparkline and Scatter charts below. For the Motion Chart demo, please choose a few countries (e.g. check checkboxes for US and France) and then click on “Right Arrow” button in the bottom left corner of the Motion Chart below:

Click on the blue links above to view the Timeline, Spartline and Scatter charts and notice the trends.

Here is another example of Sparklines (scale-less visualization of “trends”). Learn more about sparklines for visualization of trends.

Sparkline or MicroCharts

Financial trends are often shown in Stock Charts and Scatter Plots:

Trend analysis is an attempt to “spot” a pattern, or trend, in data (in most cases well-ordered set of datapoints, e.g. by timestamps) or predict future events. In statistics the Trend Analysis refers to techniques for extracting an underlying pattern of behavior in well-ordered dataset which would otherwise be partly hidden by “noise data”. When Trend Analyst cannot “spot” a pattern by visualizing such a dataset, then it is time to apply regression analysis and other mathematical methods (PRACTICAL has the expertise and experience in removing a noise from customer data). As I said in a beginning: try to see it first! However, extrapolating the past to the future can be a source for mistakes if done without proper testing.

The Radar Chart below shows that the number of visitors to website depends on the time of the day. Here those visits averaged over many days, grouped by the day of the week and stacked on top of each other starting from beginning of the week (Monday) up to the end of the Week (Sunday in this case) so that daily trends are visualized as well as average weekly picture! By looking at each line, it is easy to see what time of the day visitors tend to visit the website and, therefore, may require more attention from sales person(s) who are trying to convert visitors to customers.

Radar shows hourly trends of website Visitors

See an example of using a radar chart to identify outliers.

PCA can help you determine the best back end and front end tools for your data and applications to create data visualization with maximum value for your users. Contact us directly at 617-527-4722 or visit the contact us page.

View our interactive Data Visualization Demos: