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13 Essential Data Visualization Techniques, Concepts & Methods To Improve Your Business – Fast

datapine

“By visualizing information, we turn it into a landscape that you can explore with your eyes. And when you’re lost in information, an information map is kind of useful.” – David McCandless. Data visualization methods refer to the creation of graphical representations of information. A sort of information map. Did you know?

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Choosing A Graph Data Model to Best Serve Your Use Case

Ontotext

Graphs and knowledge graphs are all around us. We use them every day without realizing. For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics.

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. What Is Data Interpretation? Table of Contents.

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Crafting a Knowledge Graph: The Semantic Data Modeling Way

Ontotext

The term “knowledge graph” (KG) has been gaining popularity for quite a while now. Today, as the number of decision-makers recognizing the importance of more dynamic, contextually aware and intelligent information architectures is growing, so is the number of companies with solutions based on knowledge graphs.

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Why model calibration matters and how to achieve it

The Unofficial Google Data Science Blog

by LEE RICHARDSON & TAYLOR POSPISIL Calibrated models make probabilistic predictions that match real world probabilities. Calibration applies in many applications, and hence the practicing data scientist must understand this useful tool. One useful property of these predictions is calibration. What is calibration?

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Google Analytics Tutorial: 8 Valuable Tips To Hustle With Data!

Occam's Razor

It is painfully heartbreaking to realize that a very small tiny number of people who have access to web analytics tools actually use them. I mean really use the tools. Ravaging data. Leverage Custom Alerts – Let Data Kick Your Butt Into Action. #3. Leverage Custom Alerts – Let Data Kick Your Butt Into Action. #3.

Analytics 146
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Build and manage your modern data stack using dbt and AWS Glue through dbt-glue, the new “trusted” dbt adapter

AWS Big Data

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

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