Data Insights
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Observable now integrates with Microsoft Excel Connector and O365/OneDrive Cloud Files
Observable's new integrations with Excel, O365, and OneDrive allow users to bring data from Microsoft sources to the Observable platform, enabling real time data collaboration and analysis!5.3KViews2likes0CommentsLooking for trends in unrelated related data
I don't know if this is in the exact right spot, but here goes. Let's say that I'm a biologist analyzing litters of puppies: I've got six litters I want to analyze. Each of those litters could have anywhere from five to ten puppies. Each one of those puppies should be identical (for the sake of the thought experiment), but there's variation between each one. Each of those puppies has roughly 30 different areas of the body that I want to analyze. These 30 areas are the exact same spots on all of the puppies across the six litters, and, functionally speaking should be identical to each other of the chosen areas on the same puppy For each one of those areas, I'm investigating aspects of up to each of the following features: skin, fur, and muscle Each one of those features has a given set of characteristics Fur: length, density, color, pattern Skin: color, pattern, elasticity (okay, I know that sounds weird, but I'm grasping at straws for this analogy) Muscle: strength, volume, stamina (lots and lots of straws being grasped) Combining the above results in hundreds of trios of data that I'm trying to analyze: Area - Feature - Characteristic Each trio has its own unique set of allowable values: Area 2 fur length can be between 1 and 2 inches, whereas area 18 fur length can be any length under 4 inches Area 7 skin color can be pink, white, or black, but area 20 skin color can only be brown The Area 12 muscles need to be strong enough to lift 4 lbs, but there is no specification for the strength of the Area 2 muscles Each unique trio of data points has the same allowable range as that same trio of data points across all puppies across all litters Area 6 fur density from puppy 2, litter 1 has the same set of allowable values as Area 6 fur density for puppy 9, litter 10, as does area 12 fur density from puppy 2, litter 1. Despite the fact that the range of allowable values for each trio of data is unique, each area is affected by the same things that affect all other areas; the same is true for Features and Characteristics: Whether or not the puppies are indoor or outdoor dogs affects all fur length The puppy's pedigree affects all puppies' skin color and elasticity How much exercise any one puppy gets affects the strength of all of its muscles Additionally, one trio of data may lend clues to another trio of data Area 10 skin pattern often has an affect on area 10 fur pattern Given all of that: I have thousands of data points that I'm trying to analyze and draw conclusions from, and I'm looking for the best way(s) to do so. Pivot Table seems like it'd be helpful, but, as I move the data around to better understand it, I can't make conditional formatting follow individual cells around that would highlight cells showing bad values based on that data point's area, feature, and characteristic. I'm also poking around with Power Query, or whatever it's called now, but I haven't been able to make anything useful. Suggestions would be incredibly helpful; otherwise I just have to look at all of this data manually.Solved5KViews0likes19CommentsGet rich insights from your data with intelligence in Excel
Those of us on the Excel team have been investing in intelligence for a long time, with the goal of making analysis easy and intuitive for everyone. Last week in this Office 365 blog post, we provided a closer look at a new feature called Insights. Insights is our newest artificial intelligence-powered capability that will roll out in preview to Office Insiders this month. We’re really excited about how well Insights will work alongside existing intelligent, results-oriented features like Flash Fill, Chart Recommendations, and PivotTable Recommendations, all of which are longtime user favorites. Read on for more information on Insights and the broader set of similar features already available in Excel. Releasing a preview of Insights Insights is a new service that automatically highlights patterns it detects in your data, helping you discover and analyze new insights such as trends, outliers, and other useful analyses and visualizations. It will look for interesting trends in your data and provide quick summaries with PivotTables and charts. Because this feature is powered by machine learning, it will provide increasingly advanced analysis as usage grows. We’re releasing Insights as a preview for Office Insiders this month. Automatic insights powered by AI Intelligence in Excel Excel is the go-to tool for millions when it comes to data and insights. Intelligence features in Excel help you accelerate your end-to-end workflow, from connecting and shaping data to understanding, analyzing, visualizing, and forecasting intricate information. Radically simple and powerful experiences in newer capabilities like Get & Transform and Power Pivot enable you to meet increasingly complex data needs by yourself. Here are some more examples of the Excel capabilities that help you uncover hidden data insights and be more productive. Recommended PivotTables—Recommended PivotTables is perfect for users who have limited experience with PivotTables. When you use this feature, Excel determines a meaningful layout by matching your data with the most suitable areas in the PivotTable. This helps give you a starting point for additional experimentation. After a recommended PivotTable is created, you can explore different orientations and rearrange fields to achieve your specific results. Recommended Charts—Instead of sifting through the dozens of options in Excel, the Recommended Charts tool automatically recommends a chart for you based on highlighted spreadsheet data, saving you time and giving you the best visual for your needs. Quick Analysis—The Quick Analysis tool provides immediate access to a gallery of formatting styles and visualizations, including charts, tables, formulas, and sparklines. It automatically recommends the best approach for analyzing your selected range of data, and then produces an immediate preview so you can quickly judge different options. For example, you don’t need to be a PivotTables expert to use them: Quick Analysis will generate one for you, giving you more time to analyze data instead of organizing it. Just like other Excel innovations, Quick Analysis was designed to save you time and help you quickly surface the right insights. Conditional Formatting—One of our customers’ favorite tools, Conditional Formatting gives you the flexibility to write rules that format data sets in a specific way. For example, it can highlight duplicates, add color scales, and incorporate icons to help you quickly identify anomalies and patterns. Error Checking Options—If you’re working with a lot of data, it’s easy to mistype a number or enter the wrong formula. Excel helps you avoid these errors with notifications that appear when a set of numbers or formulas seems wrong or inconsistent. These notifications also give advice for fixing the error, saving you time looking for a solution. AutoFill and Flash Fill—Both AutoFill and Flash Fill were built with one goal in mind: to save you time entering and manipulating data. With AutoFill, you can quickly populate an entire column with sequential data, like dates. Flash Fill works similarly, but recommends inputs based on data in adjacent cells. Flash Fill is often used to help people transform or clean their data for further analysis. Map Charts—Excel can automatically detect geospatial information in spreadsheets using Bing to produce data-infused maps. These maps help you segment data by country, state, county, or postal code to identify regional patterns. One-click forecasting—If you have historical time-based data, you can use Excel’s one-click forecasting to create a forecast. This feature creates a new worksheet that contains both a table of the historical and predicted values and a chart that expresses this data. A forecast can help you predict things like future sales, inventory requirements, and consumer trends. Plus, several partners have built Azure-enabled Excel tools that incorporate machine learning into the forecasting feature for more robust, customized insights. Get & Transform—One of the most significant additions to Excel 2016 was Get & Transform, a powerful set of tools that provide fast, easy data gathering and shaping capabilities. Using Get & Transform, you can connect, combine, and refine data sources to meet your analysis needs. You can connect to a whole host of data types like Oracle, SQL Server, PostgreSQL and data providers like Exchange, SalesForce, Dynamics, even Facebook. Power Pivot—Power Pivot performs powerful data analysis and creates sophisticated data models. With Power Pivot, you can mash up millions of rows of data from various sources, perform information analysis rapidly, and share insights easily. We also recently announced that Excel will soon be able to understand more data types than just text and numbers. Plus, it will be able to augment your data based on public and enterprise data sources over time. Lastly, we’ll be releasing a capability that enables developers and data scientists to create new functions that business users can leverage for more customized analyses. Stay tuned. If you’d like to stay connected to Excel and its community, read our Excel blog posts, and send us ideas and suggestions for the next version of Excel through UserVoice. You can also follow Excel on Facebook and Twitter. Insights in Excel is starting to roll out in preview to Office 365 commercial subscribers enrolled in Office Insiders in the United States this month25KViews9likes8Comments🏈 Fantasy Football Draft materials brought to you by Excel! 🏈
🏈 Now that it is August, the NFL preseason is in motion. Now is the time to be analyzing how your favorite players are doing out there. 🏈 In this post, you’ll learn about Get & Transform, Conditional Formatting, VLOOKUP, absolute and relative references, and more!21KViews3likes0CommentsMicrosoft Business Applications Summit: July 22-24 in Seattle!
We’re excited to announce registration is open for the first-ever Microsoft Business Applications Summit, coming to Seattle July 22–24! Combining the best of the Microsoft Data Insights Summit, Convergence, and the Dynamics 365 Technical Conference, this new event is designed to help you create the best, lasting solutions for your business. Don’t wait – secure your spot today!8.4KViews2likes4Comments