Deciles divide a dataset into ten equal parts, each representing 10% of the data. For example, the first decile represents the point below which 10% of the data falls, the second decile represents the point below which 20% of the data falls, and so on. Let’s see how to calculate deciles in Python using the Continue reading
statistics
We care about data and we love the statistics python module
How to Calculate Quartiles and Interquartile Range (IQR) in Python (statistics.quantiles and NumPy)
Let’s see how to calculate quartiles in Python using the statistics.quantiles function for Q1, Q2, and Q3, and NumPy to compute the interquartile range (IQR).
How to Calculate Multimode in Python Using the statistics Module (Mode vs Multimode Explained)
Mode represents the single most frequent value in a list, while multimode provides a list of all the values that occur with the highest frequency. In statistical analysis, the mode is a measure of central tendency that identifies the most frequently occurring value in a dataset. However, datasets can sometimes exhibit multiple modes, where two Continue reading
How to Calculate Mode in Python (statistics.mode, NumPy bincount/argmax, and Examples)
Let’s see how to calculate mode in Python.
How to Calculate Geometric Mean in Python (statistics.geometric_mean, NumPy, and SciPy Examples)
This guide shows how to calculate geometric mean in Python using the statistics module, NumPy logarithmic method, or SciPy’s gmean function for data analysis tasks. The geometric mean is a measure of central tendency that is useful for dealing with data that has a wide range of values and is often used in finance, biology, Continue reading
How to Calculate Harmonic Mean in Python (statistics.harmonic_mean, SciPy, and Manual Methods)
The harmonic mean is a type of average useful for rates and ratios, and this guide shows how to calculate harmonic mean in Python using the built-in statistics module, SciPy, or manual formulas. Let’s see how to calculate harmonic mean in Python.