Software + Imagination
R has built-in datasets which can be useful for learning R. Let’s take a look at these. From RGui, let’s see the packages installed by going to Load package: We can see datsets and MASS are installed: From RStudio we can see the same thing: We can use datasets right away as the library is loaded. In RGui or RStudio, type in: data() This will display the datasets installed in the … Continue reading Using Sample Datasets Installed in R
Adding to the previous 2 posts, we will now deploy our model as a web service. To start, make a copy of the original model. This will allow us to continue refining our model while users can use the original model through the web service. To save a copy, open the model and select Save As: Give the model a name: Now, with the new model open, select Setup Web … Continue reading Azure ML Titanic Example – Part 3 – Deploy
In the previous post we showed how to set up our data so it is ready for building our Azure ML model. Next, we will build our model. We will be trying to determine whether a passenger “survived” or not. We have a field in our data for Survived, so we will set this as a label in Azure ML. To do this, we will drag across a new Edit … Continue reading Azure ML Titanic Example – Part 2 – Build Model
Microsoft has made available a tutorial to learn Azure ML by using data from the Titanic. With the data, we can work out whether a person is more likely to have survived the disaster or not. Here we will go through the example. In Part 1 of this post, we will extract, transform and load the data into Azure ML. First, download the sample data. The data is stored at: … Continue reading Azure ML Titanic Example – Part 1 – ETL
Last week saw the end of an entertaining NBA playoff series between the Memphis Grizzlies and the San Antonio Spurs. The Spurs ended up winning the series 4-2. One of the series highlights came off the court, when Grizzlies coach David Fizdale went on an epic rant in a post-game interview, stating various statistics and concluding the officiating in the game was biased. He finished the interview with the words “Take that … Continue reading Take That for Data: How Analytics is Changing the NBA
In Excel, select Correlation from the Data Analysis TookPak: Highlight and select options: Excel will create the correlation:
There is lots of functionality in the Excel Analysis ToolPak. Let’s take a look at Descriptive Statistics. Let’s apply this to my data, which is MSFT stock prices over 2016. Select the input range and check labels in first row. Check summary statistics. This will go into a new tab on the worksheet. Excel has now generated the Descriptive Statistics:
Excel provides an addin called Analysis ToolPak. To access it, open Excel and go to File->Options: Select Addins->Go: Select Analysis ToolPak and the Analysis ToolPak – VBA options and click OK: Click on the Data ribbon and you will see an option for Data Analysis: Note there are many different options: