Pure Storage’s Post

BETTER DATA = BETTER DECISIONS Take a look at what a client has to say about our services. #SeismicData #DataStorage #Data #Geoscience

Cheers to a data-driven 2024! 🎉 Let's kick off the year with fresh insights, strategies, and goals for success.  What data challenges are you conquering in the new year? Share your aspirations below! #Murdio #DataGoals #NewYearNewData

🌍 Discover key insights effortlessly! Our latest blog post unlocks the secrets of big countries through data exploration using Pandas. 📊✨ Check it out here: https://lnkd.in/dybtSwcQ #datascience #pandas #questionforgroup

Unlock the power of data-driven decisions with our expert guide to analyzing digital marketing data. 📊 #Marquey #DataDrivenMarketing #DigitalAnalytics

For those contacts of mine that are looking for ways to network/ stay in tune with the modern Data-verse (yeah, it's a proper noun 😏 ), I recommend that you register for and attend as many of these brilliant webinars/ seminars as possible. It's a great, no/ low-cost way to hone your analytical edges, while introducing yourself to new people and ideas, and getting access to invaluable information and perspectives! ______________________________________________________________ #dataliteracy #datacareer #learningandgrowing

Start your Friday with a bang—explode your data tree in Grasshopper! 💥 For more tips and a bit of humor, check out https://buff.ly/3zodWvu #grasshopper #datatrees

I've been on record before talking about the Population Mountains piece at pudding.cool (https://lnkd.in/eUG6jqjg) and how I think it's one of the best pure examples of a data visualisation I've ever seen. So, you can imagine my delight when I found a series of resources from Milos Popovic, PhD utilising the rayshader package in R and producing (in effect) the same thing. A fairly sizeable number of those implementations look at forest cover (or other natural world data), and I'd encourage people to take a look - but for my own part I pulled down population data from WorldPop (https://lnkd.in/esTvdh_M) and mimicked the population mountains I'd seen previously, but in a nice visual for Scotland. I'm no data visualisation expert, so really pleased with the results! 🤣 Worth checking out the references above for sure! #data #datavisualisation #dataviz #scotland #dataanalytics #datascience #r #dataisbeautiful #population

"In the age of information overload, we're the guides navigating the data deluge. 🗺️🌊 #datascience #datascientist #dataanalytics #dataguides #navigatinginsights"

Data doesn't always have to be so serious.

Users frustrated with seeing blank reports when they pick the wrong combination of slicers in #PowerBI? 😤 Very easy fix. This one goes in the category of “I’ve explained it so many times 🔁 I might as well write about it”. For example, if you don’t sell snowmobiles ❄☃ in your Florida 😎 store, then maybe snowmobiles shouldn’t be in the slicer when you are filtered to Florida. Slicers based upon multiple columns from the *same* table automatically cross-filter. But slicers based on columns in separate tables don’t filter unless there’s a relationship. 💑 In the example in the video, State Name is in the Geography 🌎 dimension and Product is in the Product 🛒 dimension. There’s no relationship between Geography and Product. Never fear. 😱 We can just use a visual-level filter. We just need a measure which will tell us which Products should be visible. Possibly we could create a fact table representing what products we stock in our stores and use that measure. But for simplicity, I’ll just use the Sales Amount measure. 👌🏽 Follow me 🔔 for more on data analytics. #BusinessIntelligence #DataVisualization #DataAnalytics