Hello there! We are Nathalie, Steve, and David, and it is our pleasure to provide this Opportunity Forecast on Data Visualization.
When you think of Data Visualization, graphs, charts, and scatter plots are some of the first things that likely come to mind. The purpose of this project is to demonstrate the progression of Data Visualization and its valuable contribution, and consider where it can go.
This Opportunity Forecast is meant to take you on a journey through the importance of representing data so that it makes the story understandable and clear to its audience, but also how we can begin to involve more than just our eyes in the process. We hope that you will participate in a few Padlets along the way to help us, and your classmates, extend our understanding of the tools and resources available to us in this developing field.
We invite you to go through the website and pay attention to what you may already know, but especially to the ways that Data Visualization has pushed the envelope in how people represent information to connect with audiences all around the world.
Please respond to our “Discussion Questions” in the comments under this post, and we look forward to engaging with your thoughts and collaborating to help everyone take an exciting step into the Data Visualization world.
Thank you for your time and we look forward to hearing your feedback!
Please access our OER HERE.
The Discussion Questions presented on the website are:
- Which data visualization tool have you previously used successfully in your practice?
- What has surprised you about data visualization through this project, or has been an interesting development in your understanding?
Thank you team for your OER on data visualization.
You did a great job of reminding us that it is so much more than just graphs and charts and showing us the potential for the future. I really enjoyed how you took our responses on the google form and created the image using AI based on our group preferences. Interesting to see as a group what we came up with. Would be interesting to see what everyone thought of the finished product.
As for the discussion questions, I use a number of data visualization tools in my jobs as a curriculum designer including canva, shorthand, articulate tools and visme. The question you asked in the OER would you rather read this or see this is something I think about everyday and really shows the power of data visualization.
This project has showcased not only where data visualization started but how it is continuing to grow and advance. Some of the things that are exciting to me is the interactivity we are now seeing in data visualization. With the advancement of web technologies and data visualization libraries, we now have the ability to interactively explore and manipulate data visualizations in real-time allowing for a more engaging experience.
I think we are also seeing the importance of storytelling when it comes to this topic. Things like dashboards that tell a story, news articles backed up by data, and visuals that explain complex ideas have become popular ways to keep people interested and help them understand information better.
Thank you again for this OER
Meagan
Thanks for checking out our OER Meagan. I know how important Data Visualization is in curriculum design! The tools that you mentioned you use include some that I have not yet tried – Visme for instance. I’m looking forward to having the time to play around and explore many more of these emerging tools.
I really like your emphasis on story … that has always been important to me, and I absolutely agree with you that so much comes down to storytelling. Data Visualization can harness data and mold it into a story that the user can understand and connect with.
Thanks for your thoughtful response!
Steve
Hello Meagan,
Thank you for yoru feedback. We wanted to demonstrate as much of the story of data visualization as possible because that became a major focus for me in working on this piece. Telling the “story” behind the data and making that not only clear to the audience but to actually involve them in some way.
Thank you for sharing the tools that you use! Like Steve, I will definitely be exploring the ones I have not tried before.
Thank you, Nathalie, Steve, and David, for your very pertinent OER on Data Visualization. I really liked the timeline flow and layout of your OER, it made it enticing to keep reading. Here is my feedback to your two discussion questions:
1. Which data visualization tool have you previously used successfully in your practice?
For work I am usually using excel (graphs/charts) in reports, sometimes I utilize Mentimeter to engage audience visually with their feedback. Lastly, I utilize maps a lot to explain, which I find most engaging as most people cannot only relate to maps, but it gives them a sense of place. I enjoyed learning about Priestley’s work in your OER, I may use that timeline visualization as inspiration when working on my next presentation.
2. What has surprised you about data visualization through this project, or has been an interesting development in your understanding?
I suppose the forecast amount of “Global Data Creation” was astonishing. I also learned a new term ‘zettabyte’ a billion terabytes! My personal prediction is that data will become more autonomously utilized by machines than humans, and that data visualization will become more important for machines to tell the story of what it is doing or a conclusion it has come to, in simple visual terms for humans.
Rich
Thanks for tuning in Rich, and for the thoughtful response. You really grabbed my attention with your prediction. The idea that Data Visualization will become more of a tool for machines to tell the story to humans is pretty fascinating. I’ve thought of Data Visualization as something that humans use to take data from machines and translate it into something recognizable and usable for people … but maybe that script is flipping!
Thanks for the thoughts!
Steve
Hello Rich,
I am happy you noticed our layout as we thought that data visualization tells a story so we should tell the story of datavis. Your comment about maps giving people a “sense of place” is really wonderful to me. Connecting people to the information in a way that makes sense and really helps to understand the content is the main goal of this project.
Your predictions with regards to autonomous machines and the advancement in data visualization is, in my opinion, quite accurate. I do believe machines will be the main processors of data and humans will develop ways to represent data meaningfully, but there are so many examples of how humans use technology to tell stories in ways to connect more people, and this is something I do not know if a machine could ever do as effectively.
Hi Rich,
Thanks for your response.
I believe what you’re suggesting is that visualization will become increasingly important as a bridge between humans and machines. We are visually oriented creatures, and as such, find visualizations to be a more intuitive way of interpreting complex information, which contrasts with machines that “see” purely in terms of data.
One thing I’m wondering is whether humans have a future role in the process of creating these visualizations. WIll machine learning and AI lead to a decrease in human involvement? Or conversely, as data becomes more complex and the interpretations provided by machines more intricate, will the need for data artists like Jer Thorp be even greater? Such artists, with their expertise, could serve as translators or interpreters of the machine-generated insights, making them more accessible. This raises a broader question: Is there a creative element in human beings that it will be impossible for machines to replicate, or is creativity just another skill that machines will eventually master?
Or am I approaching it from the wrong angle by always wondering whether humans will be made obsolete by machines? Perhaps the adaptability of human beings is the important thing, and no matter what machines can master, we will always push toward something new, redefining things like creativity, and staying one step ahead of the machines.
Thank you, Nathalie, Steve, and David for this OER.
I really like the list of other tools for data visualization. Maybe this is another one to add to the list and the one I’ve used in my practice is Plickers.
Plickers is like Kahoot. Using your devices’ camera, you can give students a flash card with a qr-like code that changes the way you hold it.
I think what surprised me about data visualization is that I’d rather see pictures than words. Pictures of graphs, I feel, show more of the pie. And if I wanted to see how it splits up, it’s easier to make that distinction. I’m more of a visual learner and to me, pictures say a lot more. Furthermore, I’d like to also add that ethics caught my eye. Ethics in data visualization reminded me of what I studied in the ETEC 500 course. I feel ethics is always important to gathering data to ensure we see things as clearly as possible.
Thanks again for your OER.
Jeremiah
Thanks Jeremiah! I’m always excited to try out new tools – Plickers! I’ll check it out.
Your comment on ethics rings true – it’s concerning how data visualizations can be biased and crafted to sway opinions to a particular view – sometimes intentionally, sometimes unintentionally. Indeed, acceptable practice, proper research methods, and transparency in the presentation are critical to an ethical presentation of data.
I also grasp things better when I see the data on visuals. The Idea gets clear and quick using pictures. One reason is that the information on graphics and pictures is precise and short. The other reason is because it is more attractive as it uses colors and design. People put so much thought when creating visuals.
Good Evening Nathalie, Stephen, & David,
Thank you for sharing this OER. Very eye opening. I’m still at a point where I’m learning about data visualization, and this has certainly educated me in a big way about it. It’s actually influenced me to want to learn more about it.
What has surprised you about data visualization through this project, or has been an interesting development in your understanding?
Really, just the amount of applications in which it can be used. I am an elementary music teacher who is always looking for new ways to advance my music classroom and advance the ways in which I teach my students. It’s interesting to see just how many ways data visualization can be applied and just how many different areas it can cover. I think when most people think about data visualization, they mainly think about it at the simplest level. I really enjoyed how your OER showed the bigger picture, the much larger spectrum of just what all can be done when it comes to these field, the endeavour. It’s actually piqued my curiosity in wanting to find ways in which how to apply it, and possibly even see how other music teachers have gone about applying this in their own classroom.
Thank you again for sharing this with us. In fact, I’m probably going to go back and see what I missed in your OER.
Hello, thank you for your reply to our OER,
I think what surprised me the most with researching and putting this OER together was just the vast amounts of data that exists and the new ways that people will be able to experience data visualization. I actually shared the TED Talk on the Allosphere with many friends and family members because I find it absolutely mind-blowing that we can experience data in such an involved way.
I think that music is a newer realm of data visualization and there are so many ways to incorporate music into this topic. I would be curious of some ideas you have had for how to implement it in your practice!
Data visualization has become such an engrained aspect of society that we interact with every day but we are so used to it that, you’re correct, before this project, I had not thought about it too deeply. After this experience I think even I will go back through our project and learn more each time.
Hello,
I would like to add that, although it may seem contradictory, there might be a way to include auditory stimulus into data visualization. In the context of data visualization within art education, there is debate over whether the “visualization” is too restrictive a term to describe approaches that could cater to individuals beyond the sense of sight. There can be tactile, olfactory, auditory ways of presenting data that would accomplish the broader purpose of understanding trends and patterns or fostering an immediate and empathetic understanding of data. Some have suggested that, at least in the art context, the term “data visceralization” should be swapped for “data visualization.” This would capture how some artists working with data are creating multisensory experiences. It would be interesting to explore the possibilities of representing data through the sense of hearing.
Thank you team!
I’m love data visualization—it’s everywhere! Take sports graphics, for example. As a big sports fan, I’m always seeing graphics that tell a story, like what Meagan mentioned. I love how broadcasting teams get creative with data to show player comparisons over time.
Your OER got me thinking about the connections to our past weeks. Even though I’m not a pro athlete, I enjoy tracking my own data with wearable tech like my Garmin. Apps like Apple Health and Garmin do a great job of turning my data into cool visuals. I think part of a designer’s job is to make data visualizations that keep us hooked. I find the feedback addictive!
Your OER had a ton of good info. What really caught my eye—surprised me, even—was how you used data creatively to make art. I used to think data visualization was all about stats, but those paintings showed how AI can turn data into visuals without using any text.
In my teaching, I think it’s crucial to explicitly show students data visualization. They need to know how organizations manipulate data to create bias. Every year, I update my unit on misleading data and have students create infographics or graphs that tell a story they care about. It’s usually the first time they realize they have to critically analyze every graphic they see. As your OER mentioned, data visualization is growing fast, so its imperative we are focusing on teaching critical thinking.
Hey Andrew,
Your mention of wearables and your garmin made me think of how companies like garmin, apple and other brands also use visualization with their data to help with branding as well as in features that help to make them profitable. Apple watches and closing the rings was the first thing that popped into my head although there are a lot of others that brands bring to the market
Meagan
Hello Andrew,
Thank you for your reply to our OER, I can clearly see your enthusiasm for the subject in terms of how data visualization impacts your life and your pedaggoy.
We tried to think of ways to represent information and turning data into paintings was an amazing idea that David managed to develop for this project.
I always like to practice what I preach so we made sure to create many different examples of how data can be presented and where it is projected to go.
Hello Nathalie, Steve, and David!
Thank you for your interesting Opportunity Forecast this week. With little-to-no knowledge about data visualization, I chose to consider the following: What has been an interesting development in your understanding?
Your Opportunity Forecast taught me that data visualization is a way to view and understand data. It’s a way of communicating information with people. The audience is considered to play an important role in data visualization. Afterall, the intention is for them to understand the information being shared. The visual tells a story behind the data.
When I consider data visualization in education, the idea of storytelling jumped out at me. Storytelling is an effective teaching strategy that motivates learners and increases participation, deepening the understanding of a subject. I was more motivated to look at your data visualizations in your work, compared to the long paragraphs of text.
This leads me to another realization about data visualization. Our attention spans seem to be decreasing from excessive social media usage and multitasking. We are becoming accustomed to rapid information delivery and instant gratification. Our brains adapt to this and our ability for deep concentrated thought suffers as a result. Data visualization seems to cater to today’s students who don’t want to spend time sifting through heavy content.
Emma
Hello,
I thought I would start by answering your question: What has been an interesting development in your understanding?
I can only speak for myself but the ways that people are creating new innovations and advancements in the field which involve more senses than just visual and to involve the audience in experiencing data so that they can make sense of it and “understand the story behind the data”.
Your comment about data visualization in education and that storytelling is an integral aspect to making information understood and meaningful. Is that not our role as educators? To make information understood?
In my practice in the classroom I truly believe that making visual representations either through videos or images, it really helps to connect students to their learning.
As our attention spans shorten with psychological research showing the most effective ways to catch and hold attention, it will be very interesting to see how it will evolve to be even more consumable.
Thank you for your response! You have made me think more deeply about our topic.
Great project,
It really got me to think about my current understanding. I had a basic understanding of about data visualization. I understood that it is taking raw data and making it more digestible. First, the examples, video, and explanations on the OER showed me just how much more complex data visualization can be. I considered that data visualization gives meaning to data (It needs to be presented in a way that impacts others and that they can interpret.) It data cannot be presented in a way that people can find meaning in, then it will not have the same impact.
The other things that I considered was just how often I have used data visualization apps and did not even realize. For instance, afterwards it made sense to me, but Uber and fitness apps were something that I never considered as being data visualization.
Thanks for your project, very interesting,
Sam
Hi Sam,
Thank you for your thoughts. I too had a fairly limited perspective on data visualization before this assignment. Jennie also commented on her fitness app, something that I connect with too! That human connection piece of DV, inspiring us and motivating us is a really important consideration. If I were to just see it in text, my experience in tracking my fitness would simply not be the same. The ability to see data, and to have it connected to my experience in a way that I can embrace, is important to my processing and response. This is a fascinating field with enormous opportunities!
Well done all.
The use of AI to build images based on the group’s collective preferences was a really interesting idea. With so many of examples of AI being tailored to the interests of an individual, it was fascinating to use it as an aggregator of opinions instead.
Regarding the question of how I’ve used data visualization in my practice, I’d say it’s hugely impactful in my disciplines (math and science). Part of the development of students in math should be using it as a language, so being able to visualize information or conceptualize it in other perspectives is essential. As an analogy, a fluent speaker of English should not only be able to recognize the word “lake” but also know the sound associated with it and have a visual conception of what a lake looks like. Similarly in math: someone who is competent in math should not only understand the symbols in an equation like “y=x-2” but also be able to associate numerical values with that, and form a mental picture of what the graph looks like.
For this purpose, technology is amazingly helpful. Compared to static textbook diagrams or very laboriously producing graphs by hands, students can use tools to see the relationship between different representations in real time. By making this interactive (essentially turning the pieces of an equation into switches and knobs one can adjust) students can quite literally play the equations and see what the impact is in real time. Much more powerful than a lecture on what the terms do.
I’m glad you included the TED Talk by Hans Rosling. I really enjoyed that when I found that a few years ago. When I introduced a statistics unit last year, I had my students complete the misconceptions test of the Gapminder site, and posted his talk as an optional extension. I think it really highlighted some of the value of using statistics, and hopefully made it less dry than examples of contrived data with no relevance, like textbook examples tend to be.
Devon, you sound like an inspiring math teacher, that is so important for young people. I was in university before I had a math teacher that really made me interested in math.
Hello Devon,
Thank you for answering our OER this week. I completely agree with you that data visualization in math and science are incredibly useful tools and you arguably use them more than other subject teachers.
Technology, and educational technology, has come such a long way and it is fascinating to think about the tools we and our students get to use to create graphs or representations for the data.
It is so great to hear that you were already familiar with the TED talk from Hans Rosling and that your students have access to this information as well! Using this video is a great way to connect them with the information and data.
Hi Nathalie, Steve, and David,
Thanks so much for your informative and well-presented OER!
Which data visualization tool have you previously used successfully in your practice?
I personally use MS forms because it is the only tool where my district is allowed to digitally collect and store any data with student information such as names. It works a lot like the google tool you shared with all the pie charts. I use Microsoft Forms frequently for little self marking quizzes or check-in surveys with the class to see how they liked a new lab, where they are feeling they need review, or how confident they are in a certain topic. It is a really useful and underutilized tool in education in my opinion.
What has surprised you about data visualization through this project, or has been an interesting development in your understanding?
I was shocked to see how much data will be generated in the future! I already feel like everyone has all of their internet activity and location data tracked every moment of every day. It’s crazy to think that the next 10 years will dwarf the last 10 years in the amount of data generated! I sincerely hope that a significant part of that massive increase is data that helps to improve support and success for students and teachers.
As a teacher, if students in the future are doing work on the computer I would love to see some real time visualization and analysis on areas that each student is strong/weak in, as sell as overall trends of the class so I know where best to place my own teaching efforts. As we shift further away from paper work and into more digital work I’m sure things will be trending in this direction.
Hi Braden,
That is very interesting that your district has a preferred tool to collect data and present it. Can I ask if you know the security levels of MS forms and how effective you believe it to be for your purposes? Is it also a tool that is visually engaging and can be presented in a multitude of ways or is it more traditional forms of data visualization?
When you said: As a teacher, if students in the future are doing work on the computer I would love to see some real time visualization and analysis on areas that each student is strong/weak in, as sell as overall trends of the class so I know where best to place my own teaching efforts. As we shift further away from paper work and into more digital work I’m sure things will be trending in this direction.
This made me so happy to think about. I do believe these types of tools will become more commonplace and effective. I already use some data visualization tools to target specific topics or areas of need for my students but to be able to have it in real time and not have to jump between different tools to achieve it and maybe have them all in one place, that would be fantastic.
Thank you for your reply to our OER!
Hello week 11 team!
Very interesting OER – I did not expect such a level of artistry within the topic of data visualization. Which leads me to my answer for the discussion question:
What has surprised you about data visualization through this project, or has been an interesting development in your understanding?
As I said, the degree of artistic expression was what I found to be particularly interesting, especially JoAnn Kuchera-Morin’s talk on the Allosphere. The fact that her and her team of engineers, scientists, and artists could create a visual experience about the natural world at the atomic level is amazing. I like the idea of swimming through a visual representation of data points that came from my own brain. JoAnn mentions how these representations can lead to new and important discoveries. I certainly understand the interest in viewing data in these peculiar ways, but I’m curious to know how they might lead to new discoveries. As a science teacher, I’m glad to have learned about this Allosphere as I think it would be interesting to use some of these artistic representations in class.
Thanks for the OER!
Thanks Nik! The artistic element, and the human emotional connection really struck me as well as we did this assignment.
You ask an interesting question. How does it lead to new discoveries? Is it the human element, the spark of creativity? Totally different scenario, but I think about all the inventions that were sparked by Star Trek, as viewers were fascinated by the creative technological ideas used in the show, and set out in their own lives to make some of these dreams a reality. Does a human connection lead to a technological connection? Maybe!
Hello Nik,
Thank you for your response!
Honestly, the Allosphere and the limitless possibilities for collaboration between different ways of thinking, in terms of artists and scientists coming together, and the possibilities for applications for this type of technology, was a major highlight of this project for me. I have already mentioned, but I have sent that TED talk around to anyone who could find it interesting in my social groups. My father loved it!
Thinking about the possibilities of data visualization and how it will change as new innovations arise, is so exciting to be witnessing. It could be really interesting for your students to learn about as well!
Hey Nathalie, Steve and David!
Wonderful work on your OER! I really enjoyed this one. Your information is so clear and easy to follow that I was deep into the site without really having thought about data visualization before at all to be honest. I felt silly to think that data visualization is simply composed of pie charts, line graphs and tally charts. I was obviously wrong. I really enjoyed some of Nathalie’s responses to some discussions explaining that story is something that was really focused here, this was clear by going through the site. The AI generated image was genius. A great way for us to understand the impact of data collection and then a creative way to make it a visual piece. I loved the piece as it seemed very safe, calming and simplistic which would make sense coming from all of us in this course. Very effective.
I chose to answer your first question (although I think I kind of answered your 2nd one as well) and think that the most common time that I use data visualization in my classroom is when I teach a unit on circles in math. It might not be the most beneficial answer to your question but I really get a kick out of this unit as it gets my students interested in data collection and also captures some artistic moments in there as well. We go from creating circle graphs from percent circles to digital graphs from spreadsheets all the way to creating a handmade graph with a protractor. It really is a fun and interesting way to look at data visualization now that I have gone over your site. I think that I want to implement a story element that will showcase their graphs in a different way and context. I would also love to preform the visual piece with them illustrating everyone’s preferred data as one collaborative piece.
Thanks again for sharing with us and for really opening my eyes to such a different perspective. Great work!
Carlo
Thank you for the feedback, Carl! I share much of your experience regarding data visualization, and this assignment definitely opened my eyes as well. The human connection piece is huge, and the use of data visualization to forge that connection and make data useful for the human experience is a really cool journey. Your circle unit sounds like a lot of fun, and definitely important, but I love your idea of incorporating a story element into it in the future. One element that might be cool to include is a look at outliers, and how they are included in data. Bradley commented on the absence of some of those outlier colour selections that AI seems to have avoided including in the painting. Very interesting! I linked a Ted Talk into my reply to his comment that gets into that a little bit.
Thanks again Carl!
Thanks so much for your OER team. Really powerful topic and certainly becoming more and more important as we continue to store exponentially more data. Creating systems to interpret and assimilate that data will be needed and I personally think there is a lot of venture opportunities in the data science and data analysis world.
I thought it was really cool to see the painting that we created from the class set of data. An observation I made from this was that red and pink/rose was more or less absent from the painting, even though where were data points for those colours, and other colours which had the name lower number of vots showed up. The reds and pinks though, the AI left them out. To me, this is a metaphor for the input of outliers, or in a bigger picture, leaving out the perspectives of neurodiverse, marginalized or underserved individuals who may be a participant in a data collection system for example. As I continued through your OER, I thought you did a nice job diving a bit deeper into this area of concern.
Which data visualization tool have you previously used in your practice?
I love using Quizziz for assessment. It allows me to quickly see which students get it, and which students struggle within second of them having finished a Quizziz test. I also find Canvas’ Threadz Data Visualiser to be pretty intriguing as a way to look at network connections between students in Canvas discussion boards. You can quickly see who has a larger sphere of influence, who posts the most and gets replies or who hasn’t participated.
Thanks Bradley! You make an excellent opservation regarding the absence of pinks and reds. In the Ted Talk I linked below, Sean Achor actually addresses the way we tend to handle outliers in statistics – its a very funny and helpful talk!
https://www.ted.com/talks/shawn_achor_the_happy_secret_to_better_work?utm_campaign=tedspread&utm_medium=referral&utm_source=tedcomshare
I’m playing catch-up a little bit, and I’m excited to delve into the realm of Quizziz and Canvas Threadz Data Visualizer in my own educational context!
Hi Nathalie, Steve, and David, thank you very much for your very informative OER. What wonderful work! it is detailed, engaging, and as mentioned by Nik before, I did not expect the artistry with this topic.
I want to say in your work, the one thing that surprised me the most about data visualization was your story on Jer Thorp’s take on humanizing data visualization from iPhone locations. To me, data was always robotic, meant to be statically accurate, and technically proficient. But Jer Thorp’s take on data visualization is surprising in its emphasis on the emotional and personal aspects of data. I realize his focus on connections over mere information transmission can trigger emotional response from data viewers, creating deeper understanding and engagement with the data. Actually, I realize I do that too, which surprised me! Sometimes I revisit health data my apple watch has generated over the past weeks, and I see patters and special days. For example, when I see I’ve walked 20k steps on a particular day, I remember I’ve gone hiking that day with my dear friends. That makes the data more meaningful for me! Thank you again for your lovely OER, it was very inspiring!
Thank you Jennie! I appreciate your connection with the humanizing factor. It is incredibly impactful to reconsider data in light of its human meaning, isn’t it? What does it actually mean, and what does it mean for my human experience? I do the same as you with my health data, and much like I do with photos, I find that I reflect upon experiences and the way that I have spent my time. It helps to provide meaning and motivation.
I agree that for most of us, numbers are just numbers until a personal connection and meaning is formed – I found my own understanding of data visualization greatly altered as we worked through this assignment as a result.
Hello Jennie,
Thank you for your comments and for sharing your example of how you place data in a human context. I agree with Jer Thorp’s powerful message that data needs to be placed in a human context, and visualization is one technique among many that can achieve this. For example, in a feature article about war, it is important to present statistics and facts about the conflict, but it is also critical to include interviews with individuals directly affected. I appreciate that Jer Thorp, as an artist, recognizes the importance of connecting data to its human context. This understanding highlights the potential of using data visualization as an awareness tool and as a starting point for deeper engagement in issues. What I think Thorp’s perspective does is that it ultimately reaffirms an essential relationship between seeing and empathy.
Hi, Nathalie, Steve, and David,
“When I first read the topic of your OER, the first thing that came to my mind was bar charts and pie charts. These charts are commonly used to display statistics, numbers, and quantitative data, making them very useful and important. However, after reading your explanation, I realized that there’s much more to it than just that. Your explanation made it much clearer to me.”
In response to your discussion question, which data visualization tool have you previously used successfully in your practice? I can recall using Microsoft Family software with my husband to keep track of our children’s web usage. After a specific time period, we could access a data visualization that showed how much screen time they had, whether they were paying attention to their online school, and what websites they browsed. Also one more thing is the sport applications on my phone. They displays my activity and number of steps.
I believe these apply to the criteria you mentioned in the OER about Mobile and Social Data Visualization.
I also liked the term you mentioned “Data Democratization” this was new for me.
Data democratization is the process of making data more accessible to people who do not have technical expertise. This can be achieved by making the tools that access the data easier to use and understand. This includes tools that do not require advanced technical skills or a deep understanding of data analytics.
from: https://www.ibm.com/blog/data-democratization-how-data-architecture-can-drive-business-decisions-and-ai-initiatives/
It was very interesting and rich thank you so much.
Hello Noor,
Thank you for your response to our OER and it is fantastic that it helped to clear it up for you!
That Microsoft Family Software is really interesting and I have never actually heard of it before. I think if schools had something like that it could be very useful for seeing how much “on-task” time they do versus social media or other sites. Can I ask what the visualization tools looked like? I would imagine bar graphs or pie charts. I am also curious how this informed your next steps in making sure that they are doing what they set out to do.
The data democratization aspect of this project was very intersting indeed! In my opinion, the whole point of data visualization is to make data understood and clear to the audience.