BasstatPL is a package for performing different tabulations and calculations for descriptive statistics.

Overview

logo

BasstatPL

BasstatPL is a package for performing different tabulations and calculations for descriptive statistics. It provides:

  • Frequency table constructors for simple and grouped data
  • Centralization measures
  • Position measurements
  • Measures of dispersion

Requirements 📋

The required packages are pandas, numpy, and matplotlib.

python -m pip install pandas
python -m pip install numpy
python -m pip install matplotlib

Some packages like numpy get installed when you install pandas

Supported Python Versions

Python >= 3.6

Installation 🔧

Using pip you can install the necessary packages, if you don't have them installed, then basstatPL will be installed

python -m pip install basstatpl

License

MIT

You might also like...
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Disclaimer This project is stable and being incubated for long-term support. It may contain new experimental code, for which APIs are subject to chang

Python Package for DataHerb: create, search, and load datasets.
Python Package for DataHerb: create, search, and load datasets.

The Python Package for DataHerb A DataHerb Core Service to Create and Load Datasets.

wikirepo is a Python package that provides a framework to easily source and leverage standardized Wikidata information
wikirepo is a Python package that provides a framework to easily source and leverage standardized Wikidata information

Python based Wikidata framework for easy dataframe extraction wikirepo is a Python package that provides a framework to easily source and leverage sta

VevestaX is an open source Python package for ML Engineers and Data Scientists.
VevestaX is an open source Python package for ML Engineers and Data Scientists.

VevestaX Track failed and successful experiments as well as features. VevestaX is an open source Python package for ML Engineers and Data Scientists.

Python package to transfer data in a fast, reliable, and packetized form.

pySerialTransfer Python package to transfer data in a fast, reliable, and packetized form.

Statistical package in Python based on Pandas
Statistical package in Python based on Pandas

Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. F

A Python package for the mathematical modeling of infectious diseases via compartmental models
A Python package for the mathematical modeling of infectious diseases via compartmental models

A Python package for the mathematical modeling of infectious diseases via compartmental models. Originally designed for epidemiologists, epispot can be adapted for almost any type of modeling scenario.

GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors

GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors. GWpy provides a user-f

A powerful data analysis package based on mathematical step functions.  Strongly aligned with pandas.
A powerful data analysis package based on mathematical step functions. Strongly aligned with pandas.

The leading use-case for the staircase package is for the creation and analysis of step functions. Pretty exciting huh. But don't hit the close button

Releases(v0.0.1)
  • v0.0.1(Oct 27, 2021)

    First version of basstatpl for Python versions higher than 3.6. Contains functions for statistical analysis.

    Future versions: more statistical functions, better optimization and bug fixes.

    Source code(tar.gz)
    Source code(zip)
Owner
Angel Chavez
Angel Chavez
Manage large and heterogeneous data spaces on the file system.

signac - simple data management The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, and reproduc

Glotzer Group 109 Dec 14, 2022
MidTerm Project for the Data Analysis FT Bootcamp, Adam Tycner and Florent ZAHOUI

MidTerm Project for the Data Analysis FT Bootcamp, Adam Tycner and Florent ZAHOUI Hallo

Florent Zahoui 1 Feb 07, 2022
Retentioneering 581 Jan 07, 2023
A model checker for verifying properties in epistemic models

Epistemic Model Checker This is a model checker for verifying properties in epistemic models. The goal of the model checker is to check for Pluralisti

Thomas Träff 2 Dec 22, 2021
A 2-dimensional physics engine written in Cairo

A 2-dimensional physics engine written in Cairo

Topology 38 Nov 16, 2022
The repo for mlbtradetrees.com. Analyze any trade in baseball history!

The repo for mlbtradetrees.com. Analyze any trade in baseball history!

7 Nov 20, 2022
Hidden Markov Models in Python, with scikit-learn like API

hmmlearn hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models. For supervised learning learning of HMMs and

2.7k Jan 03, 2023
University Challenge 2021 With Python

University Challenge 2021 This repository contains: The TeX file of the technical write-up describing the University / HYPER Challenge 2021 under late

2 Nov 27, 2021
t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology.

tree-SNE t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology. Building on recent advances in s

Isaac Robinson 61 Nov 21, 2022
CSV database for chihuahua (HUAHUA) blockchain transactions

super-fiesta Shamelessly ripped components from https://github.com/hodgerpodger/staketaxcsv - Thanks for doing all the hard work. This code does only

Arlene Macciaveli 1 Jan 07, 2022
This mini project showcase how to build and debug Apache Spark application using Python

Spark app can't be debugged using normal procedure. This mini project showcase how to build and debug Apache Spark application using Python programming language. There are also options to run Spark a

Denny Imanuel 1 Dec 29, 2021
BioMASS - A Python Framework for Modeling and Analysis of Signaling Systems

Mathematical modeling is a powerful method for the analysis of complex biological systems. Although there are many researches devoted on produ

BioMASS 22 Dec 27, 2022
Maximum Covariance Analysis in Python

xMCA | Maximum Covariance Analysis in Python The aim of this package is to provide a flexible tool for the climate science community to perform Maximu

Niclas Rieger 39 Jan 03, 2023
Containerized Demo of Apache Spark MLlib on a Data Lakehouse (2022)

Spark-DeltaLake-Demo Reliable, Scalable Machine Learning (2022) This project was completed in an attempt to become better acquainted with the latest b

8 Mar 21, 2022
An easy-to-use feature store

A feature store is a data storage system for data science and machine-learning. It can store raw data and also transformed features, which can be fed straight into an ML model or training script.

ByteHub AI 48 Dec 09, 2022
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

About The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficien

ROOT 2k Dec 29, 2022
Python utility to extract differences between two pandas dataframes.

Python utility to extract differences between two pandas dataframes.

Jaime Valero 8 Jan 07, 2023
Pyspark project that able to do joins on the spark data frames.

SPARK JOINS This project is to perform inner, all outer joins and semi joins. create_df.py: load_data.py : helps to put data into Spark data frames. d

Joshua 1 Dec 14, 2021
An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R

largeVis This is an implementation of the largeVis algorithm described in (https://arxiv.org/abs/1602.00370). It also incorporates: A very fast algori

336 May 25, 2022
InDels analysis of CRISPR lines by NGS amplicon sequencing technology for a multicopy gene family.

CRISPRanalysis InDels analysis of CRISPR lines by NGS amplicon sequencing technology for a multicopy gene family. In this work, we present a workflow

2 Jan 31, 2022