Last updated on Mar 8, 2024
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Find your purpose
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Learn the principles
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Explore the tools
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Seek feedback
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6
Keep learning
Be the first to add your personal experience
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Here’s what else to consider
Data visualization is the art and science of presenting data in a clear, engaging, and meaningful way. It can help you explore, analyze, communicate, and persuade with data. Whether you want to create charts, maps, dashboards, or interactive stories, data visualization can help you unlock the insights and power of your data. But how can you learn more about it? Here are some tips to get you started.
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- Alka rani 1
- Peter Heimann Customer Experience Researcher and Data Analyst 1
1 Find your purpose
Before you dive into data visualization, you need to have a clear idea of what you want to achieve with it. Are you trying to explore your data and discover patterns, trends, or outliers? Are you trying to analyze your data and test hypotheses, compare groups, or measure performance? Are you trying to communicate your data and tell a story, make a point, or persuade an audience? Depending on your purpose, you will need different types of data, tools, and techniques to create effective visualizations.
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- Alka rani
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One of the best visualisation tool is Tableau. It has such amazing interactive dashboards.Its very user friendly and pleasing to eye.
UnhelpfulLike Like Celebrate Support Love Insightful Funny 1 - Sundarrajan Mugunthan Lead Data Analyst | JioMart Digital
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Objective for any visualisation is to reveal some inference for the reader/consumer. Some of the purposes would be as follows,1. Pattern detection2. Trend analysis3. Comparison over a period4. Correlate 2 dependent / independent variables5. Anomoly / Outlier detection 6. Understand data spread 7. Hypothesis testing8. Relationship testing9. Data story telling through click throughs10. Drill down dash boards
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2 Learn the principles
Data visualization is not just about making pretty pictures. It is also about following some basic principles of design, cognition, and communication. You need to understand how to choose the right type of chart for your data, how to encode data with visual elements such as color, shape, and size, how to arrange and label your charts, and how to avoid common pitfalls and mistakes. You can learn these principles from books, blogs, podcasts, courses, or workshops on data visualization.
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- Sundarrajan Mugunthan Lead Data Analyst | JioMart Digital
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Follow best practices as per the tools / platform specific.1. Tableau - Use appropriate guidelines for color usage, shape usage, lables and descriptions for variables2. PowerBI - follow the filters / bookmarks usage to emphasis on the data driven decisions.
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3 Explore the tools
There are many tools and platforms available for data visualization, ranging from simple to complex, from free to paid, from online to offline. You can use spreadsheets, presentation software, or online tools to create basic charts and graphs. You can use programming languages such as R or Python, or software such as Tableau or Power BI, to create more advanced and interactive visualizations. You can also use specialized tools such as D3.js, Mapbox, or Flourish to create custom and creative visualizations. You can explore these tools by reading reviews, watching tutorials, or trying them out yourself.
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There are a variety and different tool you can use depending on your objective and domain. The most popular ones tend to be:- Tableau- Power Bi - Alteryx - Looker There are others, but all do relatively the same thing. Don't focus on all of them, just pick one or two to learn, and become efficient. You can use free resources like YouTube , or paid ones, like DataCamp and Udemy.
UnhelpfulLike Like Celebrate Support Love Insightful Funny - Pietro Valocchi Business Analysis | Data Analytics | Cybersecurity | Project Management | ICT
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I believe it is useful to analyze the functionalities of new data visualization tools not as a continuous replacement for the tools currently used. Being able to switch from summary views to detail views to respond to the need for detailed information on specific topics, or to dynamically aggregate information based on the progress of the discussion on the analyses presented, requires a very different approach from the one-way communication normally used up to now, requiring the ability to tell data stories in an effective and personalized way.
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4 Practice your skills
The best way to learn data visualization is to practice it. You can find data sets online, or use your own data, and try to create visualizations that suit your purpose and follow the principles. You can also join challenges, contests, or communities that encourage you to practice and improve your skills. For example, you can participate in Makeover Monday, a weekly project that invites you to create and share a better visualization based on a given data set and chart.
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- Peter Heimann Customer Experience Researcher and Data Analyst
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The first principle is to decide what story you wish to tell through these visualizations. And it shouldn't be dry numbers (X% of users like to do Y), but an actionable conclusion (We should migrate our users from Y to Z in order to increase profits). Then pick a tool and a layout that tells your story.
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5 Seek feedback
Another way to learn data visualization is to seek feedback from others. You can ask for feedback from your peers, mentors, or experts in the field. You can also give feedback to others and learn from their work. You can seek feedback by joining online forums, groups, or networks that focus on data visualization. For example, you can join the Data Visualization Society, a global community that connects and supports data visualization professionals and enthusiasts.
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6 Keep learning
Data visualization is a constantly evolving field that requires you to keep learning and updating your knowledge and skills. You can keep learning by following the latest trends, research, and best practices in data visualization. You can also keep learning by exploring new data sources, tools, and techniques that emerge in the field. You can keep learning by reading books, blogs, newsletters, magazines, or journals on data visualization.
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7 Here’s what else to consider
This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?
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- Sultan AlHassni
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هناك عدة طرق رائعة لتعلم المزيد عن تصور البيانات (Data Visualization). إليك بعض الطرق الفعالة مع مثال توضيحي:الدورات عبر الإنترنت: تقدم منصات مثل Coursera و Udemy و Edx دورات شاملة تغطي أساسيات وممارسات تصور البيانات المتقدمة. ابحث عن دورات تتضمن استخدام أدوات مثل Tableau أو Power BI.الكتب والموارد الإلكترونية: هناك كتب ومدونات ومواقع متخصصة تقدم إرشادات نظرية وأفضل الممارسات في تصور البيانات. يمكن أن تكون هذه طريقة ممتازة لاكتساب فهم قوي للمفاهيم الأساسية.التحديات والممارسة العملية: ابحث عن مجموعات بيانات عامة وحاول إنشاء تصورات تجيب على أسئلة محددة. تساعدك الممارسة على فهم كيفية ترجمة البيانات إلى تمثيلات بصرية فعالة.استكشاف عمل الآخرين: ابحث عن أمثلة لتصورات عالية الجودة من قبل المحترفين. يساعدك تحليل عملهم في اكتساب أفكار لعملك.
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UnhelpfulLike Like Celebrate Support Love Insightful Funny - Brant V. Digital Platform Manager, Assets IT Platform and Facilities IT Platform - Pacific Northwest National Laboratory (PNNL)
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Start by exploring online courses and tutorials on platforms like Coursera or Udemy. Additionally, consider reading books such as "The Visual Display of Quantitative Information" by Edward Tufte to understand foundational principles. Finally, engage with online communities like Reddit's r/dataisbeautiful and attend workshops or conferences to stay updated on the latest trends and techniques in data visualization. I've found that continuous learning and staying connected with industry peers are essential for mastering new skills like data visualization.
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