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Showing posts with the label HISTOGRAM

Is today's world all about creativity and ideation?

Are they the seeds to be nurtured to bring in automation, innovation and transformation.  There is a saying, necessity is the mother of invention. I would say, innovation is amalgamation of creativity and necessity.  We need to understand the ecosystem, to apply creativity and identify the ideas to bring in change. We need to be competent with changing ecosystem and think beyond the possible. What is the biggest challenge in doing this? "Unlearning and Learning", we think the current ecosystem is the best. Be it health, finserve, agriculture or mechanical domain, we need to emphasize with the stakeholders, to come up with the strategy to drive. The very evident example here is the quality of life is changing every millisecond. Few decades back the phone connection was limited to few, but today all the millennials are having a mobile phone. Now phone is not just a medium to talk, but are so powerful devices that an innovative solution can be developed on it....

Normality Test for Data using R

Hello Data Experts, Let me continue from my last blog http://outstandingoutlier.blogspot.in/2017/08/exploratory-data-analysis-using-r.html “ Exploratory Data Analysis using R where I had covered four moments of statistics. I will help recap all those 4 moments There are 4 moments of statistics. *  First step covers Mean, Median and Mode, it is a measure of central tendency. *  Second step covers Variance Standard Deviation, Range, it is a measure of dispersion. *  Third step covers Skewness, it is a measure of asymmetry. *  Fourth step covers Kurtosis, it is a measure of peakness. To complete Exploratory Data Analysis, 4 moments cover very basic aspects however there are few other techniques which are necessary/mandatory for an individual to understand.   Now we will focus on Graphical Visualization Techniques and Standard Normal Distribution. Let me continue with my example from last blog with CarsMileage dataset. Car...

Data Types and Visualization using R

Hello Data Experts, Let me continue from my last blog http://outstandingoutlier.blogspot.in/2017/08/statistical-programming-using-r-part-1.html “Statistical Programming using R Part 1” where we discussed basic statistical inbuilt functions like Mean, Median Mode etc. summary of statistical observation of dataset. Let us move to an interesting usage of R for Data Visualization keep statistical scope in view. Visualization is in term of Graphs like Box Plots, Scatter Diagrams, Pie charts, Histogram, Line Graph, Bar chart and many more. Before we get into visual representation of statistical data, it is also important for one to understand different Data and Object types. There are different data types like Numeric, String, Integer, Binary. Different types of Objects those   can store different data types like List, Vector, Matrix, Data Frames, Factors and arrays Vectors can have only single data type values. Let us look at few examples: This will hold logic...