The real substance that can make a useful PowerPoint presentation remains Charts and Graphs and not words. A good Data Visualization can mean creating those data that can be easily understandable and remembered for a long time. A simple bar chart can also make your data visually appealing, understandable, and can be great for an UX Design process that aims at gaining more attention from visitors and make you stand out.
If you know how to present your data effectively through the correct Data Visualization technique in your PowerPoint presentations, business brochure, or infographics, you can build a real substance in your communication. You can benefit from the following tips that can help you to make a great data presentation.
Choose an easy path for picking good colors
It can be difficult to choose the right color for making a good Data Visualization effect, and if you don’t know and want to do it yourself, it can be a lengthy process. There can be easier paths for you to follow that can be great for making a good User Experience,
Allow a website to pick the correct colors
There are great sites that can do all work for you to choosing colors entirely for your website. It can generate well-matched colors randomly from the color scheme and can present to you to choose the best one that you like. You can also choose the base color and match with other colors offered in such online tools and can experiment with the hue and distance setting to make your color choice more relevant.
You can select the color from a photo
Another trick for choosing color easily is to pick up a photo that you like for its colors. You can select an image editor and pixelate it repeatedly until you get the color combinations. These colors can work very well when you use it together or you may simply copy the colors and use the colors in your designs vs. data.
Choose the color from another good design
You should be smart enough to borrow some excellent color ideas from other good designs. It may be a good idea to pick up a good presentation of your company done previously or from other designs and make use of the color schemes in your data presentations.
Always keep the Data Visualization simple
Keep all aspects of your design simple and make it very easy to understand for the audience. Stay away from making complicated charts and graphs and never include anything more than necessary when you are creating your presentation. Try to eliminate all unnecessary grid lines, avoid using decimal places, and eliminate superfluous data points.
Make use of correct typefaces, proportional font size, and weights
Use of matching fonts and typesetting can be complex like matching colors and by choosing a mainstream typeface you can make the process simple. You can continue using the same typeface throughout the designing process, and it will be better if you can restrict yourself with a few maybe two or three different types of font weights having strong contrast.
Think before using the icon
It can be always tempting to use extra visual elements while trying to make an attractive Data Visualization. But it may not add any value to the presentation and on many occasions, it can spoil your efforts. Therefore, before cluttering your already good Data Visualization design with the extra icons, you should think about whether it can add value.
Proper use of value and saturation can catch your viewers’ attention
In a good Data Visualization design, the value that measures the brightness and the saturation that measures the intensity of a color can play a great role in creating excellent UI Design. You can use the concept of the value and saturation effectively to your advantage to control the viewers’ attention on the chart with the creation of great contrast.
Avoid placing text at the dead center
If you are frequently using the PowerPoint presentations, placing titles in the middle of the slides can spoil the design. You should always put the titles slightly above the center and it will make your design look much better. Perfectly-centered texts can add a little less gravity than texts that appear slightly above the center.
Use animation only when it makes meaning for the design
The animation is widely in vogue and it is very common for making Data Visualization. There are excellent animation tools that can produce very effective charts using animations easily. However, there should a pretty good reason for using animations and you should consider if it is appropriate to use it.
Motion in chart or graph can be very useful to illustrate the value over a period of time and it can call the attention of the audience to a chart effectively. However, if used improperly to make the chart look glamorous, it can cause a distraction to the attention of the users. Moreover, animations, when used improperly, can slow down the loading time of your website without producing an effective result.
Squint your design
Squinting can be a great way to test the effectiveness of your design and during squinting the fundamental elements of your design should be clearly visible. Squinting can blur the less important details and it will be easier to see the higher-contrast larger elements easily with squinting. It can help to demonstrate the value for your UX Design exercises carried for the Data Visualization design.
When you squint your design, if you do not get the key message, you can make necessary adjustments with values and saturation so that it can improve the contrast. You may also adjust the size of the main data points used to ensure that these elements are distinctly visible.
Testing of your design
While squinting can be a good way for you to understand the success of your design, you need to check the desirability and acceptability of your design with real people. You can carry out a survey and ask people what information the design is conveying and whether the people see any connection between the data. It can be extremely useful to test your Data Visualization design with a small audience and understand where you need to improve.
A good design should not focus on making the design look attractive only; it should focus on communicating the most important information easily. Communicating important information is the first and foremost role in making an effective Data Visualization presentation and aesthetics can be a secondary option. Even if your chart is ugly but is highly readable, it can still convey, more meaningful information than a beautiful design with an unreadable chart and graph.