{"id":22360,"date":"2024-11-12T10:50:40","date_gmt":"2024-11-12T15:50:40","guid":{"rendered":"https:\/\/dvsnightingstg.wpenginepowered.com\/?p=22360"},"modified":"2024-11-12T10:55:26","modified_gmt":"2024-11-12T15:55:26","slug":"review-data-visualization-power-bi","status":"publish","type":"post","link":"https:\/\/nightingaledvs.com\/review-data-visualization-power-bi\/","title":{"rendered":"Review: Data Visualization with Microsoft Power BI: How to Design Savvy Dashboards"},"content":{"rendered":"
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Image credit: Dataviz tools network image\u00a9 2023 Ihar Yanouski.<\/figcaption><\/figure>\n<\/div>\n\n\n
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Alex Kolokolov and Maxim Zelensky say that there are three types of vizzer\u2014business analyst, infographic creator, and data journalist. Are you clear about which you are? They are. And the ideal reader will be an analyst, for this is a complete guide to Power BI. <\/p>\n\n\n\n

Never made a dashboard? I hadn\u2019t. But should I want to work anywhere other than journalism, I need to know how. The 2023 DVS State of the Data Viz Industry Survey revealed that, combined, Tableau, Power BI and Excel are the most used tools in the data visualization community.<\/p>\n\n\n\n

As the ideal guinea pig for this manual on BI, I set out to recreate the graphics. I parked my hesitation around business phrases like \u201ckey performance indicators,\u201d downloaded the data from GitHub, and went for it.<\/p>\n\n\n\n

My challenge: could I create stuff without having to ask Google for backup? Straight up, I\u2019ll say that it can be done just by following the first part of the book. There are plenty of pictures\u2014very helpful for navigating menus. Despite the familiar Microsoft layout, it\u2019s always helpful to see a big red circle around the thing you need.<\/p>\n\n\n\n

Health warning! While I created charts that looked like those in the book, the numbers did not come out the same. The authors have reassured me that this is due to the raw data pre-dating the final copy. <\/p>\n\n\n\n

The book is a dipper\u2014regardless of whether your chart choice is classic, trusted or \u2018risky\u2019. Maps and bubbles were covered early, and their inclusion was a nice surprise.<\/p>\n\n\n\n

The writing and tone are friendly and not too technical. My heart sank slightly when I found the examples based around sales, but that\u2019s OK; we\u2019re doing minimalist business graphics, after all.<\/p>\n\n\n\n

I was showered with advice on customising defaults, which you\u2019ll want to consider. BI\u2019s auto-generated titles are unashamedly dull. And in the time-poor field of business, it is so true that \u2018everything should be clear at first glance.\u2019<\/p>\n\n\n\n

The biggest concept I took away is that ‘dashboards are not just tools for data discovery; they are also for facilitating communication among people.’ It\u2019s a good reminder for anyone who is normally design-led.<\/p>\n\n\n\n

For those who hate Excel charts, back yourself with this book and give BI a try.<\/p>\n\n\n\n

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The book is available in various formats on the publisher’s website<\/a> and Amazon<\/a>.<\/em><\/p>\n

Categories<\/span>Reviews<\/a><\/div>
Tags<\/div>book<\/a>Data Visualization<\/a>Review<\/a>Tools<\/a><\/div>","protected":false},"excerpt":{"rendered":"

Alex Kolokolov and Maxim Zelensky say that there are three types of vizzer\u2014business analyst, infographic creator, and data journalist. 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