Power BI Service doesn’t directly display when the dashboard was last refreshed, and can only confirm the refresh date from the workspace or from the lower-right corner of the dashboard, but this incomplete information makes it difficult for readers to confirm the latest status and accuracy of the report data.

Power BI Service 並不能直接顯示儀表板最後刷新時間，僅能從工作區或儀表板右下角確認刷新日期，但這些不完整的資訊使得閱讀者難以確認報表數據的最新狀態與準確性。為了解決這個問題，本篇文章將教你如何透過簡單的公式，在儀表板中呈現最後的刷新時間，確保讀者能掌握數據的即時性，進一步提升報表的可靠性和使用體驗。

In data visualization, pie charts are a common and intuitive tool for showing proportional relationships between different categories. However, when there are many categorical items in a dataset, pie charts can become too complex to read. This situation will not only confuse the report reader, but may even affect the interpretation of the data.

本文將介紹如何在Power BI中使用「自選前N項顯示」的功能來優化圓餅圖，讓圖表更具可讀性與專業感。

the Power BI field parameter feature not only greatly improves the readability of report readers, but also allows report makers to save a lot of time in developing charts. The flexible filtering of Power BI field parameters makes our dashboards even more concise.

Power BI欄位參數功能不僅幫報表閱讀者大幅提升可讀性，同時也讓報表製作者節省許多開發圖表時間。運用Power BI欄位參數的靈活篩選功能，可以讓我們的儀表板變更加簡潔。

today’s data collection is no longer just the preserve of programmers – even if you are just a daily Excel user, or even a novice programmer, you can use Excel’s VBA feature to implement web crawling. And all of this can be easily done with the assistance of ChatGPT.

如今的數據收集不再只是程式高手的專利——即便你只是 Excel 的日常使用者，甚至是程式設計的小白，也能透過 Excel 的 VBA 功能來實現網路爬蟲。而這一切，都能通過 ChatGPT 的協助來輕鬆完成

If you want to break through the blind spots of thinking, you must cultivate a global view of data problem analysis, and comprehensively analyze problems from multiple dimensions, multiple indicators, and multiple angles in order to make more accurate judgments.

不少人在面對數據時，常陷入「見樹不見林」的困境，僅憑單一指標或局部現象就妄下結論，導致決策失誤。想要突破思考盲點，就必須培養「全局觀數據問題分析法」，從多維度、多指標、多角度全面剖析問題，才能做出更精準的判斷。