![]() Here we can clearly see that most people prefer apple pie without having to take the time to read through a lot of text. When reading a table, it's all about the numbers. This is where the option to receive the exact same results in a table, could be preferable. We might decide that reading a full analysis of the results is unnecessary. In this situation, where we're just trying to find out the most popular pie flavor. ![]() ![]() (Image of a table where the left and right columns lists the different pie flavours and the count of respondents preferring said flavour, respectively: "apple = 40" "bleuberry = 30" "Cherry = 20" "Other = 5" "I don't like pie = 5" "Total = 100".) Additionally, five people chose a flavor other than those in the list, and five said they didn't like pie at all." Option 2: Table ![]() 30 preferred blueberry and 20 preferred cherry. You could consider creating a written report describing the figures that read something like "of the 100 people surveyed, 40 preferred apple pie. Once you've acquired your data, there's several ways to communicate the results. Apple? Cherry? Blueberry? Some other flavour? And finally, an option for people who really just don't like pie at all. This survey would ask everyone in town what kind of pie is their favourite. (4 images where, starting from the left, an apple pie, cherry pie, blueberry pie and "other" pie are sorted with a squinting face with tongue out emoji as a 5th image on the far right.)įor example, think about the following question: What is the most popular kind of pie? If you really wanted to know the most popular type of pie in your hometown, you might decide to conduct a survey. So it only makes sense that as technology has evolved, so would the way we present information we're trying to share with the world. And since the brain absorbs and processes visual information faster than any other stimuli, presenting information through graphics can be incredibly effective. How we've found food, avoided threats, created art that preserves our culture and histories. Perhaps because it's how we've always survived. Vision is such an important part of how we experience the world. Why use data visualization?īut how does data visualization make trends and patterns easier to understand? It is a combination of art and science as it uses tools such as charts, graphs and maps to make trends and patterns that might be hidden in a large data set much easier to understand. The data journey is supported by a foundation of stewardship, metadata, standards and quality.)ĭata visualization is the graphical representation of information and data. (Diagram of the Steps of the data journey: Step 1 - define, find, gather Step 2 - explore, clean, describe Step 3 - analyze, model Step 4 - tell the story. In this video, we'll be focusing primarily on how to present data in a way that helps tell the story. Step 4: Tell the storyĭata visualization can occur at different steps of the data journey, depending on what you're using it for. From collecting the data to cleaning, exploring, describing and understanding the data, to analyzing the data and lastly to communicating with others the story the data tell. This diagram is a visual representation of the data journey. We will go over when it should be used, and we will give you some examples of the different types of data visualization techniques that exist. By the end of this video, you should have a deeper understanding of data visualization, and how it can be used to present data in an interesting and aesthetically pleasing way. This video addresses the data visualization competency. This video will provide an introductory overview of data visualization, and how to use it to tell your story. Welcome to part one of a multi part series on data visualization. (The Statistics Canada symbol and Canada wordmark appear on screen with the title: "Data Visualization: An introduction") Data Visualization: An introduction Data journey step Tell the Story Data competencyĪudience Basic Suggested prerequisites N/A Length 10:54 Cost Free Watch the video Data Visualization: An introduction - Transcript We will go over when it should be used, and give you some examples of the different types of data visualization techniques that exist. By the end of this video, you should have a deeper understanding of data visualization and how it can be used to present data in an interesting and aesthetically pleasing way.
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