#datamustread 2022 Essentials: How to Level Up In Your Data Journey

Best Data Science Books: Top 5 Essential Reads for 2022 - #datamustread
Best Data Science Books: Top 5 Essential Reads for 2022 – #datamustread

For some time now, I have been using the hashtag #datamustread on LinkedIn and Twitter to regularly recommend books that are essential for a data journey. At the end of this year, I would like to put together some absolute highlights that I consider to be absolute #datamustread books:

📖 True or False by Cindy L. Otis
📖 Info We Trust by RJ Andrew
📖 Tools and Weapons by Brad Smith
📖 Data Science for Business by Foster Provost and Tom Fawcett
📖 Decisively Digital by 24 thought leaders interviewed by me

True or False: A CIA Analyst’s Guide to Spotting Fake News

True or False by Cindy L. Otis covers the entire spectrum of misinformation and disinformation, why we fall for it, and what we can do about it. Even though some concepts are familiar to me, I still learned quite a lot. The book contains a wealth of unexpected examples, current and from history, and is more relevant than ever in today’s world.

Info We Trust: How to Inspire the World with Data

Info We Trust by RJ Andrews is an inspiring journey of data storytelling, but it’s also written in an extremely entertaining way, making this #datamustread the perfect companion for relaxing days. RJ’s enjoyable writing style, by the way, has been a guiding light for my own books.

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10 Lessons the Post-Pandemic Era has taught us

Decisively Digital book
Decisively Digital book

The COVID-19 pandemic has had a significant impact on societies and economies around the world. Ten lessons the post-pandemic era (PPE) has taught us:

    1. Most office work can be done from anywhere.
    2. Face-to-face meetings can be avoided in 90% of cases.
    3. Most meetings can be reduced to 30 minutes.
    4. Breaks between meetings are important to stay focused.
    5. Important decisions for society (politics and economy) are made by non-experts out of fear.
    6. Social media is increasingly used for spreading disinformation. Countermeasures are currently ineffective.
    7. Four-day weeks are not only feasible but will become inevitable to avoid layoffs.
    8. The education system, which is the backbone of our future, is outdated.
    9. Investments in digital infrastructure bring humanity forward in a sustainable way.
    10. It is essential to secure this digital infrastructure comprehensively so as not to expose society to dangers such as nationwide blackouts.

Looking ahead, it will be important for individuals, communities, and businesses to continue to learn and adapt in order to thrive in an ever-changing world. Many of these points are covered in depth in the Decisively Digital book.

What are your personal learnings from the pandemic and beyond? Join the discussion on LinkedIn:

Join the #bookaweekchallenge for a Chance to win a copy of Decisively Digital

Join the #bookaweekchallenge with 7 days of Decisively Digital
Join the #bookaweekchallenge with 7 days of Decisively Digital

My book Decisively Digital: From Creating a Culture to Designing Strategy (➡️Amazon) is guest at Christina Stathopoulos and her #bookaweekchallenge on LinkedIn. Join Christina as she reflects on her journey through the book with several LinkedIn posts.

Christina’s posts can be found further down this blog along with a variety of interesting comments and opinions. Feel free to join the discussion on LinkedIn! You also have the chance to participate in our raffle and win one of three copies of Decisively Digital! Good luck!

Now I’ll turn it over to Christina, who kicks off the challenge with the following introduction to Decisively Digital (day 1):

No one can argue that today’s business landscape is DIGITAL, you’ve got to stay ahead of the curve or you’ll quickly fall behind. It’s Digital or… Disappear.

Jam-packed with insights, this book includes 24 interviews with leaders of the digital revolution covering:

💻 Digital Culture & Modern Work (day 2)
📊 Data Democracy & Analytics (day 3)
☁️ Big Data Processing & Cloud Computing (day 4)
🤖 Artificial Intelligence (day 5)
📳 Process Automation, Blockchain & IoT (day 6)

Plus:

💡 Wrap-up and Raffle (day 7)
🎁 Announcement of Winners (day 8)

Day 1: 🚀 Introduction to Decisively Digital

Day 2: 💻 Digital Culture & Modern Work

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Celebrating a Milestone: Surpassing 25,000 LinkedIn Followers 🌟

My LinkedIn profile when reaching 25,000 followers. Thank you very much!
My LinkedIn profile when reaching 25,000 followers. Thank you very much!

⭐ Last month marked a significant milestone in my digital journey – I surpassed the remarkable number of 25,000 LinkedIn followers. This achievement is not just a number; it’s a validation of the vibrant, engaged community we’ve built together. ⭐

I am deeply grateful to each one of you – my LinkedIn followers – for making this possible. Your constant engagement and support have been the cornerstone of this journey. It’s your encouragement that drives me to share insights, analytics tutorials, and recommend must-read data books.

I’m thrilled that my content continues to help and inspire the broader 📊 data community on LinkedIn and on Twitter (➡️ @xlth). Feedback from data enthusiasts around the world motivates me to publish 📈 analytics tutorials and introduce 📖 #datamustread books.

A special note of thanks for your overwhelming response to my book, 📘 Decisively Digital  (➡️ Amazon). This 400-page endeavor, a blend of thought leadership and practical insights, was fueled by the motivation and support from my LinkedIn network. Thank you!

Let’s celebrate this milestone – with a LinkedIn post, of course! I invite you to join me in further conversations, to share knowledge, and to continue growing together:

Update: I’ve now surpassed 30,000 followers on LinkedIn and achieved the LinkedIn Top Voices badge! Check out my latest post to see how we got here and what’s next!

How to Create a Skyscraper Map in Power BI using Azure Maps: a Guide to Bar Chart Mapping

Skyscraper Map in Power BI, aka. bar chart map, or bar chart on a map
Skyscraper Map in Power BI, aka. bar chart map, or bar chart on a map

Have You Ever Seen a Bar Chart on a Map?

Welcome to the fascinating world of data visualization, where even maps can take the form of bar charts! I prefer to call this visualization a Skyscraper Map because you can picture these bars on a map as skyscrapers. Also known as a Bar Chart Map, this type of visualization brings your geodata to life, giving it the appearance of skyscrapers dotting a cityscape.

Why Use a Skyscraper Map?

You can use a skyscraper map to display geodata along with its corresponding values. This innovative visualization combines a map indicating various locations (be it a city, a country, or any geographical place) with a bar chart. Like a traditional bar chart, the height or volume of each bar in a skyscraper map is proportionate to the values it signifies.

Crafting a Skyscraper Map with Azure Maps in Power BI

First, you need to make sure that the Azure Maps preview feature is enabled in Power BI to create a skyscraper map. Here’s a step-by-step guide using the Retail Analysis Sample dataset:

Step 1. Click on the Azure Map icon in the Visualization pane.

Step 2. Drag the lower right corner to extend the filled map visual.

Step 3. From the Fields Plane, select PostalCode.

Power BI assigned Country to the Location field.
Power BI assigned Country to the Location field.

Step 4. Now, choose TotalSales from the Fields Plane.

Power BI assigned Sales to the Bubble size field.
Power BI assigned Sales to the Bubble size field.

Step 5. Head over to the Format your Visual section.

Step 6. Toggle off the Bubble layer switch.

Step 7. Enable the Bar chart layer switch.

Power BI with enabled Bar chart layer switch.
Power BI with enabled Bar chart layer switch.

Step 8. Expand the Bar chart layer pane.

Step 9. Expand the Size pane.

Step 10. Under the Size pane, set the Height to 4 px.

Step 11. Under the Size pane, set the Width to 3 px.

Power BI showing a skyscraper map.
Power BI showing a skyscraper map.

With these steps, you’ve created a skyscraper map showing sales by zip codes in your dataset. Want to try it out? Download the PBIX file here.

Teach Yourself VISUALLY Power BI book cover

If you’re keen on diving deeper into Power BI, don’t miss my book, Teach Yourself VISUALLY Power BI (Amazon), filled with more insightful tutorials like this one. Got any feedback, ideas, or questions about creating bar chart maps in Power BI? I’d love to hear from you:

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