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xtenalyze

Business Information Technology blog. discussing trends, money saving tips and open source technology.

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xtenalyze | xtenalyze.blogspot.com Reviews
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Business Information Technology blog. discussing trends, money saving tips and open source technology.
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assemble,social media,refine,posted by xtenalyze,no comments,email this,blogthis,share to twitter,share to facebook,share to pinterest,introducing watson analytics,watson analytics,enjoy watson,filtering in r,filtering,df$region,df2 df2$region= 'central
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xtenalyze | xtenalyze.blogspot.com Reviews

https://xtenalyze.blogspot.com

Business Information Technology blog. discussing trends, money saving tips and open source technology.

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1

xtenalyze: March 2016

http://xtenalyze.blogspot.com/2016_03_01_archive.html

Business Information Technology blog discussing open source, money-saving tips, trends and best practices. Wednesday, 30 March 2016. Moving to R (Part 2). Opening a spreadsheet file in R. R Studio IDE shown above,has got to be the gold standard for what an R IDE should be. Shown below, it's got 4 windows namely:. 1)Console: This window has the console which is where the compiler is, the compiler executes the R scripts. 4)Scripts and Data view: This window has tab for scripts and viewing data. Script ...

2

xtenalyze: Moving over to R

http://xtenalyze.blogspot.com/2016/03/moving-over-to-r.html

Business Information Technology blog discussing open source, money-saving tips, trends and best practices. Monday, 21 March 2016. Moving over to R. Data comes in all shapes and sizes. Sometimes they come with some many columns that makes it difficult for one to make sense of . A special kind tool has to be used to work on the data, that tool is R. The closest thing to a column in R is called a vector. And for row is list. For example a named column in a spreadsheet is represented as :. Tom - c(Tom,25,Lon...

3

xtenalyze: April 2016

http://xtenalyze.blogspot.com/2016_04_01_archive.html

Business Information Technology blog discussing open source, money-saving tips, trends and best practices. Sunday, 10 April 2016. Will appear in the console as shown below:. The diagram shows that Region column has 3 categories of data namely Central, East, West. To filter (called slicing in R). The square brackets are used. The rows,columns and filter criteria are written inside the brackets. The syntax is as shown below:. The dataframe [rows{Filter criteria},column]. Will run in the console to produce:.

4

xtenalyze: Introducing Watson Analytics

http://xtenalyze.blogspot.com/2016/05/introducing-watson-analytics.html

Business Information Technology blog discussing open source, money-saving tips, trends and best practices. Monday, 2 May 2016. So you have 100,000 rows of data to analyze, you cannot afford to hire a Data Scientist and you do not have the required skills.Have no fear, IBM Watson Analytics have come to the rescue. The software has sections that it uses to work on data just as shown in the image above, they are namely:. It also shows degree and accuracy of predictability in a circular diagram just like the...

5

xtenalyze: What pivot tables can do in spreadsheets

http://xtenalyze.blogspot.com/2016/02/what-pivot-tables-can-do-in-spreadsheets.html

Business Information Technology blog discussing open source, money-saving tips, trends and best practices. Sunday, 28 February 2016. What pivot tables can do in spreadsheets. Wikipedia describes pivot table as a data summarization tool found in spreadsheets and business intelligence software. Although, the tool is used mainly for summarization, the tool has been put into other uses in various software. Pivot tables can do graphs, calculate values, percentage changes and so on and so forth. Values: This i...

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Business Information Technology blog discussing open source, money-saving tips, trends and best practices. Monday, 16 May 2016. Watson Analytics 2.0. Continuing from where we left off the last time. We covered two out of the five section of the software indicated in the diagram below by the bits in grey. So we are discussing 'Assemble' to 'Refine'. The diagram above shows a 'Sentiment' chart from the data collected. The dataset fields are displayed at the bottom of the chart. Other information li...Watso...

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