Data Handling

Data Science and A.I. : Computing Quartiles from Grouped Data: Step-by-Step Guide

Quartiles help to divide a dataset into four equal parts. In this post, we will compute the values of the lower quartile (Q₁), median (Q₂), and upper quartile (Q₃) from a given set of grouped data. Data: | C.I. | fᵢ | |——-|—–| | 5-10 | 5 | | 10-15 | 6 | | 15-20 […]

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Data Science and A.I. : Numerical Related to Quartile

Numerical Example to Compute Quartile Problem Statement: Given the data set: 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, calculate the first quartile, second quartile, and third quartile using the quartile formulas. Understanding Quartiles: Quartiles divide the data set into four equal parts. There are three quartiles, denoted by \( Q_1 \), \(

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Data Science and A.I. – Quartiles, Deciles, and Percentiles

“`html PostNetwork Academy guides us through three crucial statistical measures: Quartiles, Deciles, and Percentiles These measures are used to divide a data distribution into equal parts, making them essential tools in data analysis. Hello everyone! Welcome to another educational post from PostNetwork Academy. I’m Bindeshwar, and before we begin, make sure to follow us on

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variance

Data Science and A.I. : Measures of Dispersion : Variance of Continuous Freq. Distribution

In this post, we dive into one of the core statistical concepts used in data science and artificial intelligence—calculating the variance of a continuous frequency distribution. Breaking down the steps If you have data distributed across class intervals with frequencies, the goal is to find the variance. The video explains the columns in the table:

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Data Science and A.I. – Measures of Dispersion: Variance of Discrete Frequency Distribution

 Data Science and A.I. – Measures of Dispersion: Variance of Discrete Frequency Distribution   In this post from PostNetwork Academy’s Data Science and A.I. Lecture Series, Bindeshwar Singh Kushwaha walks us through the process of calculating the variance of a discrete frequency distribution. This is an essential statistical measure for understanding the spread of data

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How to Calculate Variance for a Given Distribution

How to Calculate Variance for a Given Distribution Introduction: In this post, we will explore the step-by-step process of calculating the variance and standard deviation for a given frequency distribution. Understanding these concepts is crucial for analyzing data variability and distribution spread. Example: Given the following frequency distribution, we will calculate both the variance and

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Pandas Series Functions min(), max(), mean(), median() and mode()

Panda’s Series- In the last post, I explained how to create a panda’s series. Further,  a pandas series has a lot of   you often need to analyze, visualize and clean data.  In this post, I will be explaining min(), max(), mean(), median(), and mode functions. min() Function- import pandas as pd lst=[2, 4, 6, 8,

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