Numbers have an important story to tell, as quoted by Data visualisation expert Stephen Few, which captures the essence of the reason why visualisation is much more than just a tool; it’s essential. In an era of overwhelming information, the way you communicate your knowledge can be an important factor in determining the quality of action, as well as clarity and confusion, in the inaction of others. At SUM Group, we specialise in transforming raw data into powerful visuals with MATLAB’s powerful features such as plot, scatter and surf.
Are you ready to make your data come to reality? Let’s begin.
Why Data Visualisation Matters
A spreadsheet’s numbers can tell a story, but the narrative comes to life once they’re visualised and interpreted. Suppose you’re an engineer observing system performance, an engineer analysing results from experiments, and a business analyst predicting patterns. In that case, effective visualisation transforms information into useful information.
Why MATLAB?
MATLAB is unique due to its robust computational power and an easy-to-use set of tools for visualising. Functions like plot, scatter and surf aren’t simply commands. They can be used to create powerful, readable, and engaging visuals that connect with your viewers.
The Power of MATLAB’s Visualization Tools
1. The plot: The Classic Workhorse
It’s the function that plots the place where the vast majority of visual journeys start. It’s straightforward, versatile essential to create 2D Line plots.
Key Applications:
- Tracking Trends: Make use of plots to show the changes in the course of time, for example price fluctuations or fluctuations in temperature.
- Comparing Variables: Layer several lines for analysis of the relationships between variables.
Pro Tip: Use legends, labels, and gridlines to increase clarity. Examples:
Matlab
CopyEdit
The x value is 0:0.1:10;
The equation y is sin(x);
plot(x, y, ‘LineWidth’, 2);
xlabel(‘Time (s)’);
ylabel(‘Amplitude’);
title(‘Sine Wave’);
grid;
The code is simple and creates the most professional, clean graph, with little effort.
2. scatter 3. Investigating the relationship between them.
The scatter function is a great choice for highlighting patterns, clusters or outliers of the data. Through the plotting of individual details, scatter graphs can be used to explore patterns and correlations.
Key Applications:
- Analyse Markets: See customers’ buying habits according to the age of their customers and their income.
- Scientific Research: Determine the levels of gene expression against experiments conditions.
For Example:
*x = randn(100 1, 100);
y = randn(100 1, 100);
z = randn(100, 1);
scatter(x, y, 50, z, ‘filled’);
colorbar;
title(‘Scatter Plot with Color Coding’);
The color code represents another variable, resulting in more interesting and captivating graph.
3. surf 3D: The visualizing process 3D. 3D
If you have data that requires the third dimension, surfing is the right tool to search to. The function produces 3D surface plots which can be extremely useful for analysing patterns of spatial relations or for visualising intricate mathematical models.
Key Applications:
- Engineering: Examine the distribution of stress over a part.
- Environment Science: Model elevation of terrain or patterns in the weather.
Example:
[X, Y] = meshgrid(-5:0.5:5, -5:0.5:5);
Z = sin(sqrt(X.^2 + Y.^2));
surf(X, Y, Z, ‘EdgeColor’, ‘none’);
colormap jet;
Interp. shading;
title(‘3D Surface Plot’);
The program generates a breathtaking smooth surface plot which is attractive and also informative.
Why SUM Group?
We at SUM Group, we believe that good data should be accompanied by great visualisations.
1. Custom Solutions for Your Needs
If you’re in academia or in industry, we can tailor MATLAB visualisation tools for your specific goals. From making interactive dashboards, or automating tedious visualisation tasks, we’ll let your data perform for you.
2. Industry Expertise
Our clients span various industries like finance, healthcare engineering, finance and healthcare. When it comes to creating real-time monitor and simulation systems, or more complex visualisations of simulation that we can achieve outcomes.
3. Hands-On Collaboration
Your vision drives our process. We partner together with you in order to comprehend the information you have and your customers and ensure every visualisation is telling the right story.
Actionable Tips for Better MATLAB Visualisations
- Concentrate on Clarity: Stay clear of the clutter. Maintain your visualisations neat and focused on your main message.
- Make use of interactivity by using the interactive tools in MATLAB, such as datacursormode to make your graphics more interesting.
- Select the right function The scatter plot could be ideal for illustrating relationships while a bar graph could be better at describing the comparisons.
- Improve and refine Make sure you don’t stop at the initial draft. Explore different styles, colors and annotations to help your images pop.
Real-World Impact: MATLAB Visualization in Action
Case Study: Environmental Research
We worked with a research group to present the data on humidity and temperature over vast areas of the globe. Utilising surf to perform 3D model of terrain and scatter to provide detailed data points, we assisted the team identify patterns which informed the policy guidelines.
Case Study: Manufacturing
To support an automotive customer for a car, we designed a real-time monitoring dashboard that uses the plot-and-scatter. What did we get? Engineers were able to immediately identify the production issues and fix them while minimising time and production waste.
Making Data Actionable
Data visualisation doesn’t solely about making things appear attractive, it’s about making them more clear to be actionable and effective. Through MATLAB’s powerful visualisation capabilities as well as the expertise of SUM Group, your data could transform into a potent instrument for communicating and making decisions.
Do you want to improve the way that you view and communicate your data? Get in touch with SUM Group today, and allow us to transform your data by creating personalised MATLAB visualisation software!
