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Prediction has always been a curious topic in life due to a key attribute – the extreme human desire to
Big Data is the buzzword of our current times. A majority of the firms either use or wish to use
We recently built wall-information display screens for our offices to show interesting metrics of our production environment along with some business numbers we care
Visualizing time series data for the analysis of numerical information like revenue, app launches, uninstalls, etc. can help analysts quickly
Data is a strong suite of some digital marketers while some struggle with big sets of data. It's becoming easier than
Dealing with large datasets is often daunting. With limited computing resources, particularly memory, it can be challenging to perform even
In the previous article, we discussed some techniques to deal with missing data. We will now look at an example
In the previous article, we discussed what an outlier is and ways to detect such outliers with parametric and non-parametric
One of most excruciating pain points during Data Exploration and Preparation stage of an Analytics project are missing values. How
We are obsessed with collecting system and application metrics. This helps us make data driven, logical infrastructure decisions. When we
An Outlier is an observation or point that is distant from other observations/points. But, how would you quantify the distance
The most widely used coordinate system to represent data is the Cartesian coordinates followed by Polar coordinates. Source: Wikipedia Basically,
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