登录查看更多内容

What are the benefits of using interactive data visualizations for data analysis and communication?

由人工智能和领英社区提供技术支持

Data visualization is the process of transforming data into graphical or interactive formats, such as charts, maps, dashboards, or infographics. It can help you analyze, understand, and communicate data more effectively and efficiently. In this article, you will learn about the benefits of using interactive data visualizations for data analysis and communication, and some best practices to create engaging and informative visualizations.

此文章中的业界达人

由社区从 3 条内容中精选。了解更多

Marc Reid

Data Analysis & Visualisation | Tableau Visionary HoF | datavis.blog | Salesforce Certified

1 Why use interactive data visualizations?

Interactive data visualizations allow you to explore and manipulate data dynamically, rather than passively viewing static images or tables. You can zoom in and out, filter, sort, highlight, drill down, or compare data points, depending on your needs and goals. This can help you discover patterns, trends, outliers, correlations, or causal relationships that might otherwise be hidden or overlooked. Interactive data visualizations can also enhance your analytical skills and creativity, as you can experiment with different scenarios, hypotheses, or questions.

添加您的观点

Naresh Gudla, PMP?,SAFe?,CSM?,ITIL?,SRE

2x Top Community Voice on LinkedIn 2023, Release/Change Management, Operational & Delivery Management using lean & Agile, Service Delivery (ITIL, SRE), Technical Program/Project Manager,Data Governance, Data Management
举报内容
IDV provides a better understanding of the underlying data used thereby enhancing insights gained out of it. You can tailor the extraction criteria based on your needs leading to better engagement and building up a better story for your context.

已翻译

赞

2 How to create interactive data visualizations?

Before creating interactive data visualizations with tools such as Tableau, Power BI, Qlik, D3.js, or R Shiny, it is important to consider key factors. Ensure the accuracy and reliability of your data source, and that you have the appropriate permissions and security measures to access and use it. You should also be aware of your audience and purpose, tailoring your visualization to their level of expertise, interest, and expectations. Define the main point or insight you want to convey with your visualization and how you want to guide your audience through the data. Choose the most suitable type of visualization for your data, such as bar charts, line charts, pie charts, maps, or scatter plots. Utilize colors, shapes, sizes, and animations to highlight important or relevant data points. You can also provide filters, sliders, buttons, or menus to enable your audience to interact with the data and customize their view.

添加您的观点

3 What are the benefits of interactive data visualizations for communication?

Interactive data visualizations can help you communicate your data more effectively and persuasively by capturing and retaining your audience's attention. They simplify and clarify complex or large data sets, as well as enhance your credibility and authority. These visualizations create a more engaging and memorable experience for your audience, allowing them to interact with the data and explore it at their own pace. Additionally, they can help you distill and organize data into meaningful and manageable chunks, while avoiding information overload or confusion. Furthermore, interactive data visualizations can demonstrate your expertise and knowledge of the data, as well as build trust and confidence with your audience by showing transparency and honesty.

添加您的观点

Marc Reid

Data Analysis & Visualisation | Tableau Visionary HoF | datavis.blog | Salesforce Certified
举报内容
Some benefits are: - Your audience can discover their own stories in the data - The visualisation can be customised to each reader. For example, allowing them to enter their age or country of residence so that data of most relevance to them can be displayed. - It is easier to ask and answer multiple questions in succession by iteratively filtering and drilling into different parts of the data - Interactive visualisations can increase user engagement

已翻译

赞

4 What are the challenges of interactive data visualizations?

Interactive data visualizations come with certain challenges and limitations that you should be aware of. For example, the quality and integrity of the data used must be verified and validated, as incomplete or inaccurate data can lead to misleading or erroneous visualizations. Additionally, if sensitive or personal data is involved, such as health records or financial transactions, you must respect the privacy and rights of the data subjects and comply with relevant laws and regulations. Furthermore, your audience must have a certain level of data literacy and interpretation in order to understand and appreciate the data and visualization, so it is important to provide clear guidance and support to avoid any ambiguity or confusion.

添加您的观点

Marc Reid

Data Analysis & Visualisation | Tableau Visionary HoF | datavis.blog | Salesforce Certified
举报内容
Some challenges are: - They often 'require' user engagement. Depending on the medium and channel of sharing, your audience may not have the time or inclination to interact so could miss the message you want to convey - They are not always fully functional or can be harder to use on mobile devices - They generally require a digital device to interact so are not suitable for print output, including newspapers and magazines but also many forms of advertising or even packaging where static visualisations still work

已翻译

赞

5 How to evaluate interactive data visualizations?

Interactive data visualizations should never be considered static or final products, but instead should be monitored and evaluated for performance and impact. Usability testing, data analysis, and communication effectiveness are all methods and metrics that can be used to assess the visualization. Usability testing can involve observing or interviewing target users, or using online tools or platforms. Data analysis involves measuring or comparing the changes or outcomes in the data before and after using the visualization. Lastly, communication effectiveness can be evaluated by measuring or comparing the responses or reactions of the audience, such as their engagement, comprehension, retention, or persuasion.

添加您的观点

Data Management

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

What are the benefits of using interactive data visualizations for data analysis and communication?

1

2

3

4

5

1 Why use interactive data visualizations?

2 How to create interactive data visualizations?

3 What are the benefits of interactive data visualizations for communication?

4 What are the challenges of interactive data visualizations?

5 How to evaluate interactive data visualizations?

Data Management

给文章评分

感谢您的反馈

更多Data Management相关文章

更多相关阅读内容

What are the benefits of using interactive data visualizations for data analysis and communication?

1

2

3

4

5

1 Why use interactive data visualizations?

2 How to create interactive data visualizations?

3 What are the benefits of interactive data visualizations for communication?

4 What are the challenges of interactive data visualizations?

5 How to evaluate interactive data visualizations?

Data Management

给文章评分

感谢您的反馈

查看其他技能