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Rank Transformation
Last Updated: 23 July 2025
Rank Transformation is a non-parametric data preprocessing technique in which numerical data are replaced by their ranks when sorted. This approach is often used to mitiga...
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ML-Statistics
ML-EDA
Data Analysis
Calculating Covariance and Correlation
Last Updated: 06 December 2025
Covariance and correlation are two statistical concepts that are used to analyze and find the relationship between the data to understand the datasets better. These two co...
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Data Science
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ML-Statistics
ML-EDA
Steps for Mastering Exploratory Data Analysis | EDA Steps
Last Updated: 23 July 2025
Mastering exploratory data analysis (EDA) is crucial for understanding your data, identifying patterns, and generating insights that can inform further analysis or decisio...
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Data Analysis
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Data Duplication Removal from Dataset Using Python
Last Updated: 28 July 2025
Duplicates are a common issues in real-world datasets that can negatively impact our analysis. They occur when identical rows or entries appear multiple times in a dataset...
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Handling Categorical Data in Python
Last Updated: 14 October 2025
Categorical data refers to features that contain a fixed set of possible values or categories that data points can belong to. Handling categorical data correctly is import...
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Technical Scripter
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Machine Learning
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Exploratory Data Analysis on Iris Dataset
Last Updated: 23 July 2025
Exploratory Data Analysis (EDA) is a technique to analyze data using some visual Techniques. With this technique, we can get detailed information about the statistical sum...
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Exploratory Data Analysis
Last Updated: 30 April 2026
Exploratory Data Analysis (EDA) is an important step in data analysis where we explore, summarize, and visualize data to understand its structure, detect patterns, identif...
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Six Steps of Data Analysis Process
Last Updated: 20 March 2026
Data analysis is the process of collecting, cleaning, organizing and interpreting data to gain useful insights and support decision-making. It follows a structured approac...
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data-science
ML-EDA
Data Analysis
Scatter Plot Matrix
Last Updated: 23 May 2024
In a dataset, for k set of variables/columns (X1, X2, ....Xk), the scatter plot matrix plot all the pairwise scatter between different variables in the form of a matrix. S...
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Machine Learning
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Lag Plots
Last Updated: 23 July 2025
A lag plot is a special type of scatter plot in which the X-axis represents the dataset with some time units behind or ahead as compared to the Y-axis. The difference bet...
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Machine Learning
python
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ML-Statistics
ML-EDA
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Normal Probability Plot
Last Updated: 23 July 2025
The probability plot is a way of visually comparing the data coming from different distributions. These data can be of empirical dataset or theoretical dataset. The probab...
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Machine Learning
python
Data Visualization
ML-EDA
ML-plots
AI-ML-DS
Contour plots
Last Updated: 22 January 2021
A contour plot is a graphical method to visualize the 3-D surface by plotting constant Z slices called contours in a 2-D format. The contour plot is an alternative to a 3-...
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Machine Learning
python
Data Visualization
ML-EDA
ML-plots
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Dex Mean Plot
Last Updated: 23 July 2025
Dex mean plot is used to analyzing the data from the respective set of factors that contains two or more than two levels. The plot represents the mean values of two or mor...
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Machine Learning
Data Visualization
ML-EDA
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Complex Demodulation Phase and Amplitude Plot
Last Updated: 14 August 2021
Complex Demodulation Phase PlotIn the frequency analysis of time series models, a common model is a sinusoidal wave:Y_{i} = C + \alpha\sin{(2\pi\omega t_{i} + \phi)} + E_{...
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Machine Learning
python
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Dex scatter Plots
Last Updated: 23 July 2025
The scatter plot is used to determine whether two variables have some correlation with each other. This plot uses dots to represent different data points in the dataset. T...
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Machine Learning
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