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5 Data Aggregations You Can’t Live Without 👊

Essential Data Aggregations for Powerful Insights

Dec 4

5 Data Aggregations You Can’t Live Without 👊

Dec 4

Published in
Analyst’s corner

Box plots often misrepresent distributions. — that’s why many times avoided.

Have a look at the box plot on the left, then compare it to the jittered strip plot of the same data on the right:

Dec 1

Box plots often misrepresent distributions. — that’s why many times avoided.

Dec 1

Published in
The Pythoneers

Explanation of a Histogram for 10th Standard Students 😎

Histogram plots are used to better understand how frequently or infrequently certain values occur in a given set of data.

Nov 26

Explanation of a Histogram for 10th Standard Students 😎

Nov 26

Published in
Analyst’s corner

Histogram: A Tool for Analyzing the History of a Continuous Variable ✊

A Representation of the distribution of a continuous variable over a given interval or period of time.

Nov 26

Histogram: A Tool for Analyzing the History of a Continuous Variable ✊

Nov 26

Published in
The Pythoneers

Understanding the T-Distribution: Estimation based on small sample to quantify the uncertainty 👀

A version of Normal distribution with Heavier tails where population variance is unknown.

Nov 21

Understanding the T-Distribution: Estimation based on small sample to quantify the uncertainty 👀

Nov 21

Why the Correlation Coefficient r ranges between -1 and +1.?

Correlation Coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables.

Oct 27

Why the Correlation Coefficient r ranges between -1 and +1.?

Oct 27

Published in
The Pythoneers

“The Great Debate: Correlation vs. Causation Explained”

Beyond the Surface: Unraveling Correlation vs. Causation

Oct 27

“The Great Debate: Correlation vs. Causation Explained”

Oct 27

Published in
Analyst’s corner

“Unleashing the Power of Scatter Plots: Trends, Correlations, Outliers & Clusters — One Stop Guide!”

Explore trends, reveal correlations, detect outliers, and uncover clusters with the versatile power of scatter plots.

Oct 27

“Unleashing the Power of Scatter Plots: Trends, Correlations, Outliers & Clusters — One Stop Guide!”

Oct 27

Published in
The Pythoneers

Sampling Methods— A pathway to reliable data interpretation or sample !!

Lets try our best to taste the each flavour or diversity of our population ✌️ because believe me everything relies on sample we choose.

Oct 23

Sampling Methods— A pathway to reliable data interpretation or sample !!

Oct 23

Standardization vs Normalization: How to Choose the Right Technique

It’s completely fine if you feel confused between the topics “Standardization” vs “Normalization”

Oct 9

Standardization vs Normalization: How to Choose the Right Technique

Oct 9

DataMantra

DataMantra

he

DataMantra is an Edtech platform and founded by Tarun Sachdeva who is based out of Belgium and specialised in Tableau, SQL, ML, Python, Deep Learning & Gen AI.

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