datavisualizationgurus-blog

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6 Mistakes That Will Ruin Your Infographic

Infographics can make any complex information understandable - this is approximately the view of many of its customers and creators. But confused or incorrectly composed infographics in interactive dashboard service only interfere with the perception of the material and scare readers away - in this case, you get anti-advertising for your own money. Here are examples of mistakes that infographic authors make while providing interactive dashboard service.

A card that needs 3 more cards to read

    To understand something from this infographic, you first need to look at 3 maps in the left corner and remember what three shades indicate the region of interest to you. And then lay these colors on top of each other. True, the scheme does not explain all the combinations of colors, so you have to dilute the colors in a jar to find out what the mixture of pink and blue looks like. Then you remember the new color and look for it on the big map. And then you will know the indicators of any region - if by then you do not forget what all of this means at all. However, it will not come to this - readers will simply skip too complicated infographics.

   Too complicated graphics format

   Radar charts look beautiful and useful when you need to evaluate something by several indicators or compare two products. “A regular bar chart would be much more convenient than a complicated infographic. For each topic, you should choose the optimal format for the infographic”, says data visualization gurus.

   Errors in infographics

    The author of the chart either wrote the wrong percentage of the poor, or incorrectly portrayed him. After all, 76% is a little more than 3/4, and on the chart we see something completely different. It is unlikely that the World Bank consciously decided to deceive readers, but rather someone was mistaken. Programs for preparing presentations or infographics can also spoil the result due to a failure. Therefore, even a professional designer should once again check all the data when the work is ready.

   Infographics that confuse, not explain

    Infographics are created to clearly explain a complex topic. Therefore, if it confuses the reader even more, drawing anything makes no sense. For example, this infographic does not explain how the movement of the cochlea was calculated, or why such calculations are needed. But there are many incomprehensible formulas - with the same success they could be written in the text. And the stylization of the manuscript does not fit the topic.

   Too much information in small print

    Including much information could be enough for a small book, but the authors squeezed everything into one infographic. Understanding the characteristics of dozens of organizations and the relationships between them is a difficult task for an unprepared reader. People simply don’t remember anything from what they saw - because there is too much information placed randomly. Which of the organizations is more, who influences what - all this remains a mystery.

     To see the text, you will need a very large screen - otherwise you will have to zoom in multiple times. But the information is scattered haphazardly, and in this case you simply won’t know where to look further. Therefore, for users of phones, tablets and even laptops, this infographic is useless - they simply can’t see anything.

   Complex diagrams instead of a simple picture

    The number of phones in comparison with newspapers and TVs, the popularity of various operating systems and phone models, the number of SMS, and the preferences of Internet users. Instead of several slides or one slide with the most important numbers, you can depict everything at once with the help of diagrams. As a result, infographics turned into a heap of pie charts and numbers that do not explain anything. There is so much information that it’s hard to single out the main thing. Readers who want to quickly understand the features of the mobile market, such graphics will disappoint.

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15 Data Visualization tips you need to know to make Effective Charts

There are many great resources available that offer tips on effective design for data visualization. But who has time to search various articles, websites, and research articles for useful tricks and hidden gems? We want to help you create great graphics right now, so we've put together this list of quick tips for you to consider when creating your next presentation.

15 quick data visualization tips

1. Before you start designing your board, stop to think about your story. What are you trying to say? Once you understand your message, the process is much easier.

2. Keep it simple. If it doesn't support your story, leave it out. You don't want to saturate your boxes with unnecessary text, colors, drop shadows, or 3D images.

3. Give your painting a strong title that clearly frames your message. Great titles make graphics more memorable and helpful.

4. Scale your board appropriately. Always take care that the scale you use on each axis must have equal intervals. This is a quick way to make sure your chart is displaying correctly.

5. Choose a font for your title, axes and legends labels that are easy to read. You want people to connect to your message quickly.

6. For the sake of transparency, always quote your sources. This builds credibility, builds trust, and gives your readers the opportunity to visit the source for more information.

7. Organize your data logically. Carefully arrange all columns and bars in order by value to make them more easy to compare at a glance.

8. Use color to draw attention to a specific part of your graphic. Bright colors quickly attract attention, helping to get the message across faster especially when you’re working on map visualization.

9. Avoid making rainbows or using mixed color palettes. They may be pretty, but they are not necessarily effective. We suggest that you choose a color for the whole picture or use a touch of color to highlight the important areas in the map visualization or visualization through graphs.

10. Do not select the data you choose to view. While you may have impressive numbers to share, you should give context and tell the full story.

11. Label your data directly, so you can make your table easier to understand quickly. Put labels next to the corresponding lines or bars if a legend takes too long to read.

12. Grid lines should be used only if they make your data easier to read. Play around with vertical and horizontal grid lines until you feel your frame is clear and concise.

13. Always use company colors, fonts, and branding when presenting data internally. This makes your graphics look polished and professional.

14. Try to avoid using pie charts to make comparisons. Pie charts are difficult to compare at a glance; it is best to use bar or column tables.

15. It's easy to get lost in a visualization when you try to do it right. Give it to a friend or colleague to see if they can understand your message in 30 seconds or less.

[datavisualizationgurus-blog]

There are many great resources available that offer tips on effective design for data visualization. But who has time to search various articles, websites, and research articles for useful tricks and hidden gems? We want to help you create great graphics right now, so we've put together this list of quick tips for you to consider when creating your next presentation.

15 quick data visualization tips

1. Before you start designing your board, stop to think about your story. What are you trying to say? Once you understand your message, the process is much easier.

2. Keep it simple. If it doesn't support your story, leave it out. You don't want to saturate your boxes with unnecessary text, colors, drop shadows, or 3D images.

3. Give your painting a strong title that clearly frames your message. Great titles make graphics more memorable and helpful.

4. Scale your board appropriately. Always take care that the scale you use on each axis must have equal intervals. This is a quick way to make sure your chart is displaying correctly.

5. Choose a font for your title, axes and legends labels that are easy to read. You want people to connect to your message quickly.

6. For the sake of transparency, always quote your sources. This builds credibility, builds trust, and gives your readers the opportunity to visit the source for more information.

7. Organize your data logically. Carefully arrange all columns and bars in order by value to make them more easy to compare at a glance.

8. Use color to draw attention to a specific part of your graphic. Bright colors quickly attract attention, helping to get the message across faster especially when you’re working on map visualization.

9. Avoid making rainbows or using mixed color palettes. They may be pretty, but they are not necessarily effective. We suggest that you choose a color for the whole picture or use a touch of color to highlight the important areas in the map visualization or visualization through graphs.

10. Do not select the data you choose to view. While you may have impressive numbers to share, you should give context and tell the full story.

11. Label your data directly, so you can make your table easier to understand quickly. Put labels next to the corresponding lines or bars if a legend takes too long to read.

12. Grid lines should be used only if they make your data easier to read. Play around with vertical and horizontal grid lines until you feel your frame is clear and concise.

13. Always use company colors, fonts, and branding when presenting data internally. This makes your graphics look polished and professional.

14. Try to avoid using pie charts to make comparisons. Pie charts are difficult to compare at a glance; it is best to use bar or column tables.

15. It's easy to get lost in a visualization when you try to do it right. Give it to a friend or colleague to see if they can understand your message in 30 seconds or less.

[datavisualizationgurus-blog]

There are many great resources available that offer tips on effective design for data visualization. But who has time to search various articles, websites, and research articles for useful tricks and hidden gems? We want to help you create great graphics right now, so we've put together this list of quick tips for you to consider when creating your next presentation.

15 quick data visualization tips

1. Before you start designing your board, stop to think about your story. What are you trying to say? Once you understand your message, the process is much easier.

2. Keep it simple. If it doesn't support your story, leave it out. You don't want to saturate your boxes with unnecessary text, colors, drop shadows, or 3D images.

3. Give your painting a strong title that clearly frames your message. Great titles make graphics more memorable and helpful.

4. Scale your board appropriately. Always take care that the scale you use on each axis must have equal intervals. This is a quick way to make sure your chart is displaying correctly.

5. Choose a font for your title, axes and legends labels that are easy to read. You want people to connect to your message quickly.

6. For the sake of transparency, always quote your sources. This builds credibility, builds trust, and gives your readers the opportunity to visit the source for more information.

7. Organize your data logically. Carefully arrange all columns and bars in order by value to make them more easy to compare at a glance.

8. Use color to draw attention to a specific part of your graphic. Bright colors quickly attract attention, helping to get the message across faster especially when you’re working on map visualization.

9. Avoid making rainbows or using mixed color palettes. They may be pretty, but they are not necessarily effective. We suggest that you choose a color for the whole picture or use a touch of color to highlight the important areas in the map visualization or visualization through graphs.

10. Do not select the data you choose to view. While you may have impressive numbers to share, you should give context and tell the full story.

11. Label your data directly, so you can make your table easier to understand quickly. Put labels next to the corresponding lines or bars if a legend takes too long to read.

12. Grid lines should be used only if they make your data easier to read. Play around with vertical and horizontal grid lines until you feel your frame is clear and concise.

13. Always use company colors, fonts, and branding when presenting data internally. This makes your graphics look polished and professional.

14. Try to avoid using pie charts to make comparisons. Pie charts are difficult to compare at a glance; it is best to use bar or column tables.

15. It's easy to get lost in a visualization when you try to do it right. Give it to a friend or colleague to see if they can understand your message in 30 seconds or less.

[datavisualizationgurus-blog]

There are many great resources available that offer tips on effective design for data visualization. But who has time to search various articles, websites, and research articles for useful tricks and hidden gems? We want to help you create great graphics right now, so we've put together this list of quick tips for you to consider when creating your next presentation.

15 quick data visualization tips

1. Before you start designing your board, stop to think about your story. What are you trying to say? Once you understand your message, the process is much easier.

2. Keep it simple. If it doesn't support your story, leave it out. You don't want to saturate your boxes with unnecessary text, colors, drop shadows, or 3D images.

3. Give your painting a strong title that clearly frames your message. Great titles make graphics more memorable and helpful.

4. Scale your board appropriately. Always take care that the scale you use on each axis must have equal intervals. This is a quick way to make sure your chart is displaying correctly.

5. Choose a font for your title, axes and legends labels that are easy to read. You want people to connect to your message quickly.

6. For the sake of transparency, always quote your sources. This builds credibility, builds trust, and gives your readers the opportunity to visit the source for more information.

7. Organize your data logically. Carefully arrange all columns and bars in order by value to make them more easy to compare at a glance.

8. Use color to draw attention to a specific part of your graphic. Bright colors quickly attract attention, helping to get the message across faster especially when you’re working on map visualization.

9. Avoid making rainbows or using mixed color palettes. They may be pretty, but they are not necessarily effective. We suggest that you choose a color for the whole picture or use a touch of color to highlight the important areas in the map visualization or visualization through graphs.

10. Do not select the data you choose to view. While you may have impressive numbers to share, you should give context and tell the full story.

11. Label your data directly, so you can make your table easier to understand quickly. Put labels next to the corresponding lines or bars if a legend takes too long to read.

12. Grid lines should be used only if they make your data easier to read. Play around with vertical and horizontal grid lines until you feel your frame is clear and concise.

13. Always use company colors, fonts, and branding when presenting data internally. This makes your graphics look polished and professional.

14. Try to avoid using pie charts to make comparisons. Pie charts are difficult to compare at a glance; it is best to use bar or column tables.

15. It's easy to get lost in a visualization when you try to do it right. Give it to a friend or colleague to see if they can understand your message in 30 seconds or less.

[datavisualizationgurus-blog]

Why Use Data Visualization in Communication

Today all companies have data. The term Big data is already mastered in most companies and they know the importance of collecting information.

However, the main flaw that makes it impossible to extract the full potential of the data comes right after it is collected: analysis. And is that the real challenge of Big data is in the interpretation of data.To facilitate this process and to be able to display the information in a simple and understandable way, data visualization tools have been created.

These tools collect all the company's databases and display them on a single platform, allowing the team to carry out a cross-sectional analysis. To extract knowledge and transmit messages with the data, we need to have a good data visualization tool that supports and facilitates our analysis.

What Does A Data Visualization Tool Do?

To understand in a simpler way how a data visualization tool works, we will explain it:We have a platform where all kinds of databases can be connected. On this platform, we can load data manually and automatically.

Manually, we will make the loads through Excel, CSV, JSON or HTML documents for example. Loading this data over time can be facilitated by sending the databases to the platform by email.The connections that are made automatically can be several. For example, if the visualization tool has developed the connectors, we can connect via API with Facebook, Instagram, Twitter, Google or Adobe Analytics ...

Connections can also be made through SAS, Google Big Query or Hadoop. Unlike a DMP, a data visualization tool cannot activate other tools, that is, it does not have the capacity to make a call to the server of our Email Marketing platform to execute any action. It just collects the information and displays it. Although, in recent months, some of these platforms are starting to move towards the activation field.

What Is It Used for in Communication?

The Data Visualization gurus says that the data visualization platform collects the databases, previously labelled with business areas, reputation dimensions or company objectives.

For what? So that the impact of internal efforts can be measured, to have traceability of press releases in all media, to measure the effectiveness of each of the actions of the different campaigns.

It is the best way to control the objectives of the department and the company, to observe the real situation of the actions, the status of the reputation and the effectiveness of our communications. 1) It allows to have a vision of what happens in all the communications of the company. Furthermore, the platform is interactive and usable. It is easy to extract knowledge from graphs. 2) It is an ideal tool for communication since in this business area there has never been a spirit of measurement. However, metrics are already required from all departments and this is an easy way to carry them out.

 3)  It has the advantage that all the information comes from the same data source that can be consulted by other departments involved. This guarantees that the data is consistent and there are no inconsistencies in the results of one or another department.   4) It allows metrics and cross-sectional dimensions to be used in all databases, matching them to be able to analyse them together.

Key to Keep in Mind

First of all, for a d3 expert tool to be useful to you, your data needs to be consistent. In other words, you have to have data volume and reliability. The data collection methodology must be consistent across all databases.

[datavisualizationgurus-blog]

The heat map that reveals how Google watches you: it knows where you have been every day

Using Google's terrifying location history data visualization, able to tell you exactly where you've been every day, a developer in the US creates a tool to visualize your movements on a terrifying heat map.

Google maps watches over you. With your permission, those of Mountain View use your smartphone to control each and every one of your steps. For what?

Well, initially to introduce you to you later in a terrifying location history. You can check it here and, if you haven't seen it until now, you're going to be scared: Google knows exactly where you've been.

Now, an American developer has created a tool to visualize all that data in a different way. Specifically, with a heat map that would replace the lines of your routes that Google puts on the map.

The platform uses the data from your history, but rest assured, your locations do not leave your computer, which is where the heat map is actually created.

To create your own heat map with this tool, you have to access Google Takeout to download the file containing your location history from there.

Finally, you just have to drag the file you have downloaded to the web, which will create a heat map with the places you've been to lately. A perfect way to visualize where you spend the most time and to verify that Google knows everything (or almost everything) about you.

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High Charts Online

High Charts Online and Graphs make it easier to understand data and communicate complex information in a visually engaging way. They've also been proven to help people absorb information faster and retain it. With Data Visualization Gurus, you can create professional data visualizations in a matter of seconds.All you need to do is pick from our wide selection of chart types, including pie charts, bar charts, line charts, AM Charts, Custom PDF and so much more.

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JavaScript Bar Chart

There is more to bar charts than meets the eye with data visualization. JavaScript Bar chart is just one example of many visual tools which can be used to convey information in the most effective way. Bar charts, bar graphs, pie charts, or other charts and graphs are one of the most common methods of displaying information of various kinds.