登录查看更多内容

What's the best tool for visualizing your data?

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 forms that can reveal patterns, trends, and insights. It is a crucial skill for data analysts who need to communicate their findings and recommendations to different audiences. But what is the best tool for visualizing your data? There is no definitive answer, as different tools have different strengths, limitations, and suitability for different purposes. In this article, we will explore some of the factors that you should consider when choosing a data visualization tool, and some of the popular options available in the market.

此文章中的业界达人

由社区从 6 条内容中精选。了解更多

Paul Baek, Ph.D.

??Transforming Business Analytics with PowerBI, Data Modelling & UX Design
Injae Park

I teach Power BI experts ? Microsoft MVP @Power BI Park ? Power BI World Championship Finalist ? PBI Core Visuals…
Cedric C.

Experienced Senior Manager with 20+ Years in Marine Industry | Data-Driven Strategist | Expert in Maintenance Planning…

1 Your goals and audience

The first factor to consider when choosing a data visualization tool is your goal and audience. What are you trying to achieve with your visualization? Who are you presenting it to? How much detail and interactivity do they need? Depending on your answers, you may need a tool that can create simple charts, complex dashboards, interactive maps, or animated stories. For example, if you are creating a report for a client, you may want a tool that can produce professional-looking and customizable charts that can be easily exported and embedded in other formats. If you are creating a presentation for a general audience, you may want a tool that can create engaging and interactive visualizations that can capture their attention and curiosity.

添加您的观点

Areef Ahmed

Sr Analyst @ foodpanda (APAC + EU) | Data ? Logistics ? Risk & Fraud
(已编辑)
举报内容
Recent learnings in practice: 1. Purpose & Audience: Why and for whom is this? 2. "Level of Detail": LOD extends beyond Tableau – vital in every analysis/project. - Audience's core queries - Needed granularity (high/mid/detailed) 3. Simplifying Complexities: Problems and solutions can be intricate (like complex modeling, analysis). If not made simple enough for the audience to benefit, it doesn't solve the issue.

已翻译

赞

加载更多内容

2 Your data and analysis

The second factor to consider when choosing a data visualization tool is your data and analysis. What kind of data do you have? How much of it do you have? How do you want to analyze it? Depending on your answers, you may need a tool that can handle different types of data, such as numerical, categorical, temporal, spatial, or network data. You may also need a tool that can perform different types of analysis, such as descriptive, exploratory, inferential, or predictive analysis. For example, if you have a large and complex data set, you may want a tool that can handle big data and provide advanced analytics features, such as machine learning, clustering, or forecasting. If you have a small and simple data set, you may want a tool that can quickly and easily create basic charts and tables.

添加您的观点

Cedric C.

Experienced Senior Manager with 20+ Years in Marine Industry | Data-Driven Strategist | Expert in Maintenance Planning & Ops | Seeking Director, Operations & Maintenance positions.
举报内容
I still use data insights from excel when I need a quick, cheap way to visualize simple dataset. I can then insert a graph in an email or in a team chat to illustrate the idea or the feedback I am talking about. For more complex exploratories , my go-to is Power BI.

已翻译

赞

3 Your skills and preferences

The third factor to consider when choosing a data visualization tool is your skills and preferences. How comfortable are you with using different tools and technologies? What kind of interface and functionality do you prefer? Depending on your answers, you may need a tool that can match your level of expertise, learning curve, and style. For example, if you are a beginner or a non-technical user, you may want a tool that has a user-friendly and intuitive interface, such as drag-and-drop or point-and-click. If you are an expert or a technical user, you may want a tool that has a flexible and powerful interface, such as code-based or script-based.

添加您的观点

Sheenam Hayer

??6 X LinkedIn Top voice - Data Analytics, Gen AI, Agile Methodologies | Senior Manager | Award - researcher| Multicultural Network Ally @SKY | Data insights - Transformation - Agility | Coach
举报内容
Choosing the right data visualisation tool will depend on business use cases, licences required, training requirements and how easy is it to adopt to the new tool. For example if business doesn’t want to spend money on visualisation tool - the power bi basic version is an amazing option. Cost breakdown analysis for deployments of these tools is another crucial factor

已翻译

赞

4 Some popular options

When selecting a data visualization tool, you should take into consideration your needs and preferences. Popular options include Excel, Tableau, Power BI, R, and Python. Excel is a widely used spreadsheet application that can create basic charts and tables, pivot tables, and slicers. Tableau is a data visualization software that can create interactive dashboards and stories, as well as maps, charts, and graphs. Power BI is another software that can generate interactive reports and dashboards. R is a programming language and environment that offers advanced customizations for visualizations, as well as statistical and machine learning analysis. Python also has similar capabilities but with a moderate learning curve.

添加您的观点

Paul Baek, Ph.D.

??Transforming Business Analytics with PowerBI, Data Modelling & UX Design
(已编辑)
举报内容
From my experience in working with internal and external clients, another factor to consider is shareability. Internal users are typically easier to cater to as an organisation would typically have access management in place to allow dashboards to be shared easily with the necessary security layer applied. With external users, however, it gets a little trickier with access, if the organisation doesn’t have a technical or IT system supporting it. So IMO, setting up the right access management of your dashboard products would be critical to establish before commencing any development work.

已翻译

赞

5 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?

添加您的观点

Injae Park

I teach Power BI experts ? Microsoft MVP @Power BI Park ? Power BI World Championship Finalist ? PBI Core Visuals Representative
(已编辑)
举报内容
There is no "best visualization tool", there is only the most appropriate tool for the project. What does your org already use? Do the end users know and expect a tool? What are time and budget constraints? Although a lot of agency is placed on different tools and techniques - the main point is to provide business value (which could even be done with something as simple as a pivot table)

已翻译

赞

Data Analysis

+ 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's the best tool for visualizing your data?

1

2

3

4

5

1 Your goals and audience

2 Your data and analysis

3 Your skills and preferences

4 Some popular options

5 Here’s what else to consider

Data Analysis

给文章评分

感谢您的反馈

更多Data Analysis相关文章

更多相关阅读内容

What's the best tool for visualizing your data?

1

2

3

4

5

1 Your goals and audience

2 Your data and analysis

3 Your skills and preferences

4 Some popular options

5 Here’s what else to consider

Data Analysis

给文章评分

感谢您的反馈

查看其他技能