登录查看更多内容

What are the best ways to present time-series data for operational planning?

由人工智能和领英社区提供技术支持

Operational planning is the process of setting goals, allocating resources, and coordinating activities for a specific period of time. Time-series data is a type of data that shows how a variable changes over time, such as sales, costs, or customer satisfaction. Presenting time-series data effectively can help you communicate trends, patterns, and forecasts to your stakeholders and team members. In this article, you will learn some of the best ways to present time-series data for operational planning.

此文章中的业界达人

由社区从 2 条内容中精选。了解更多

Edward Dufty

Experienced Programme Manager with a focus on Energy, Data and Compliance

1 Choose the right chart type

The first step to present time-series data is to choose the right chart type for your purpose and audience. There are many types of charts that can display time-series data, such as line charts, bar charts, area charts, or candlestick charts. Each chart type has its own advantages and disadvantages, depending on the complexity, frequency, and variability of the data. For example, line charts are good for showing continuous data over a long period of time, while bar charts are better for showing discrete data over a short period of time. You should also consider the level of detail, the number of variables, and the message you want to convey with your chart.

添加您的观点

Edward Dufty

Experienced Programme Manager with a focus on Energy, Data and Compliance
举报内容
Yes, also know your audience. If it's a board pack, c 75 pages 6 hr session, and you need the data to have an impact keep it easy to read, fewer colours the better, use boldest colour to get the message over. Of course, if the group have a smaller pack to review and the data with have more time to be absorbed, then add detail. Do not add too much complexity, do two graphs instead if two axis adds complexity ascan example. Finally, polish each graph several times. Make sure it lines up, corporate colours are applied (as appropriate) fonts match and it alk looks proportional.

已翻译

赞

2 Use consistent and clear labels

The second step to present time-series data is to use consistent and clear labels for your axes, legends, titles, and annotations. Labels help your audience understand what the data represents, how it is measured, and what it means. You should use labels that are relevant, accurate, and concise, and avoid jargon, abbreviations, or symbols that may confuse your audience. You should also use consistent formats, units, and scales for your labels, and align them with the data points. Additionally, you should use titles and annotations to highlight the main findings, insights, or recommendations from your data.

添加您的观点

Edward Dufty

Experienced Programme Manager with a focus on Energy, Data and Compliance
举报内容
Agreed! We are all different, when I have a pack to review 50% of my focus is the quality of the presentation. Of course, the other 50% is on what I need to know from the displayed data. If the quailty is there in presentation, then the same effort/standards are there in the backing data.

已翻译

赞

3 Apply appropriate colors and styles

The third step to present time-series data is to apply appropriate colors and styles for your chart elements, such as lines, bars, areas, or markers. Colors and styles can help you emphasize, differentiate, or group your data, as well as create contrast, harmony, or hierarchy. You should use colors and styles that are suitable for your data type, your chart type, and your brand identity. You should also use colors and styles that are legible, accessible, and consistent, and avoid using too many or too bright colors that may distract or distort your data.

添加您的观点

4 Adjust the time scale and range

The fourth step to present time-series data is to adjust the time scale and range for your chart. The time scale and range determine how the data is distributed and displayed along the horizontal axis of your chart. You should adjust the time scale and range to fit your data frequency, granularity, and duration, as well as your analysis purpose and audience expectation. For example, you may use a daily, weekly, monthly, or quarterly time scale, depending on how often you collect and report your data. You may also use a fixed or dynamic time range, depending on whether you want to show a specific or a relative period of time.

添加您的观点

5 Add trend lines and reference lines

The fifth step to present time-series data is to add trend lines and reference lines to your chart. Trend lines and reference lines are additional lines that show the direction, slope, or level of your data, respectively. Trend lines can help you identify and quantify the patterns, relationships, or changes in your data over time, such as growth, decline, seasonality, or cyclicality. Reference lines can help you compare and benchmark your data against a target, a baseline, or a threshold, such as a goal, an average, or a limit. You should add trend lines and reference lines that are relevant, meaningful, and accurate, and label them clearly and appropriately.

添加您的观点

6 Test and refine your chart

The sixth and final step to present time-series data is to test and refine your chart. Testing and refining your chart means checking and improving the quality, accuracy, and effectiveness of your chart, as well as the clarity, consistency, and validity of your data. You should test and refine your chart by asking yourself and others some questions, such as: Does the chart convey the intended message? Is the chart easy to read and understand? Is the chart visually appealing and engaging? Is the data reliable and up-to-date? You should also use feedback, best practices, and tools to enhance your chart and fix any errors or issues.

添加您的观点

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?

添加您的观点

Operational Planning

+ 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 best ways to present time-series data for operational planning?

1

2

3

4

5

6

7

1 Choose the right chart type

2 Use consistent and clear labels

3 Apply appropriate colors and styles

4 Adjust the time scale and range

5 Add trend lines and reference lines

6 Test and refine your chart

7 Here’s what else to consider

Operational Planning

给文章评分

感谢您的反馈

更多Operational Planning相关文章

更多相关阅读内容

What are the best ways to present time-series data for operational planning?

1

2

3

4

5

6

7

1 Choose the right chart type

2 Use consistent and clear labels

3 Apply appropriate colors and styles

4 Adjust the time scale and range

5 Add trend lines and reference lines

6 Test and refine your chart

7 Here’s what else to consider

Operational Planning

给文章评分

感谢您的反馈

查看其他技能