Nowadays, all of us have heard that “Data is the new oil and the Data Science is the combustion engine that drives it” or “Data Science is the most sought after job of the twenty-first century” or “Data Science is the future”. …

In the last article, we discussed how to create NumPy arrays. In this article, we discuss how to index different slices of the NumPy array i.e access different parts of the ‘n-dimensional’ array.

Say we have a 3D array:

In the last article, we looked at the histogram as a way of describing and understanding the trends in Quantitative Data. Let’s look at another kind of plot for describing Quantitative Data which is the Stem and Leaf plot. …

The main purpose when we draw a histogram is to see if some trends are visible in the data or not and there are some standard trends that we should look out for in the histogram. These standard trends are discussed in this article. So, let’s get started.

Here is…

In the previous article, we looked at how Histogram is the preferred way of representing Quantitative Data and how to select the perfect bin size. In this article, we look at how to answer questions on percentages /proportions— “In what percentage of matches did Sachin score less than 10 runs?”

Parveen Khurana

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