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Showing posts with the label Median

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...

Exploratory Data Analysis using R

Hello Data Experts, Let me continue from my last blog http://outstandingoutlier.blogspot.in/2017/08/object-types-and-visualization-using-r.htmll “ Data Types and Visualization using R” where we discussed Object/Data Types like Vector, List, Factor, Data Frame,   Array and Matrix. I did cover how to have a different graphical representation like Line Graph, Scatter Graph, Pie chart, Bar Graph, Histogram and Boxplot Graph. Let us now move forward with core statistical fundamentals for any statistical problem. We will learn about Exploratory Data Analysis. Why do we need it and how to perform Exploratory Data Analysis (EDA)? Let me first help you understand what it is EDA is important for Data Scientist because it will help us Understand key attributes about the data like Mean, Median etc. EDA will help us visualize if there are any anomalies like outliers. Data visualization help us detect if there is any pattern like direct or indirect relationship between 2 set da...

Statistical Programming using R

Hello Data Experts, Let me continue from my last blog http://outstandingoutlier.blogspot.in/2017/08/dataset-using-r.html  “Dataset using R” where we discussed how to load Dataset from CSV and work on basic operations over that dataset.    Given R is the statistical language, it is important for us to unleash the power of R for statistical analysis. This blog will help you learn statistical calculations such as Mean, Median, Mode, Variance, SD and few other formulas. Let us move forward and understand how to get these values. Before we delve into statistical programming, let us understand why do we need to calculate all three mean, Median and Mode and not just anyone. Mean represent average value which can get influenced by outlier (higher or lower) value. Median reflects middle most value with less probability of getting influenced by outlier. Mode is the maximum repeated value in the dataset. Standard Deviation derives level of variation. It is very comm...