Basic Statistics in R

My latest publicly available R notebook created in IBM’s Data Science Experience is here!  This notebook provides a tutorial on:This notebook covers:Descriptive statisticsFrequency and contingency tablesCorrelations and covariancest-tests; andNonparametric statistics.I hope you enjoy this notebook.  Please feel free to share and let me know your thoughts.

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Basic graphs in R

My latest publicly available R notebook created in IBM’s Data Science Experience is here!  This notebook provides a tutorial on:Bar, box and dot plotsPie and fan chartsHistograms and kernel density plots.I hope you enjoy this notebook.  Please feel free to share and let me know your thoughts. My latest #R #notebook: Basic Graphs in R https://t.

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Advanced Data Preparation in R

My latest publicly available R notebook created in IBM’s Data Science Experience is here!  This notebook addresses some advanced features available in R focusing on Data Preparation.I hope you enjoy this notebook.  Please feel free to share and let me know your thoughts.My latest #R #notebook: Advanced Data Preparation in R https://t.

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Regression in R

My latest publicly available R notebook created in IBM’s Data Science Experience is here!  This notebook provides a tutorial on:This notebook covers:Fitting and interpreting linear models;Evaluating model assumptions; andSelecting among competing models.I hope you enjoy this notebook.  Please feel free to share and let me know your thoughts.

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CRaP at Amazon and Advice for Amazon Sellers

Amazon recently made the news by publicly announcing that it is targeting hard to sell items, so called Can’t Realize a Profit (CRaP) for removal from its all-powerful sales channel.  Such items are believed to be those that have a low revenue for the cost to ship. Essentially, the shipping costs outdoes the contribution margin of the item. That sounds easy and makes sense.

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Big Data Appliance 5.1 Now Available

We are excited to announce that Oracle Big Data Appliance 5.1 is now publicly available.  This is a massive release with major new features across the stack.  It is based on Cloudera Enterprise 6.2.1 and Oracle NoSQL Database 19.3.2 – allowing our customers to take advantage of the latest Apache Hadoop, Spark, Hive and other core Hadoop and Cloudera Enterprise Data Hub features.

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