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 πŸ“‹

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 πŸ”§

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
Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data.

Hatchet Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data. It is intended for analyzing

Lawrence Livermore National Laboratory 14 Aug 19, 2022
A crude Hy handle on Pandas library

Quickstart Hyenas is a curde Hy handle written on top of Pandas API to allow for more elegant access to data-scientist's powerhouse that is Pandas. In

Peter VΓ½boch 4 Sep 05, 2022
Projects that implement various aspects of Data Engineering.

DATAWAREHOUSE ON AWS The purpose of this project is to build a datawarehouse to accomodate data of active user activity for music streaming applicatio

2 Oct 14, 2021
Data-sets from the survey and analysis

bachelor-thesis "Umfragewerte.xlsx" contains the orginal survey results. "umfrage_alle.csv" contains the survey results but one participant is cancele

1 Jan 26, 2022
Data imputations library to preprocess datasets with missing data

Impyute is a library of missing data imputation algorithms. This library was designed to be super lightweight, here's a sneak peak at what impyute can do.

Elton Law 329 Dec 05, 2022
Exploratory Data Analysis for Employee Retention Dataset

Exploratory Data Analysis for Employee Retention Dataset Employee turn-over is a very costly problem for companies. The cost of replacing an employee

kana sudheer reddy 2 Oct 01, 2021
Important dataframe statistics with a single command

quick_eda Receiving dataframe statistics with one command Project description A python package for Data Scientists, Students, ML Engineers and anyone

Sven Eschlbeck 2 Dec 19, 2021
Code for the DH project "Dhimmis & Muslims – Analysing Multireligious Spaces in the Medieval Muslim World"

Damast This repository contains code developed for the digital humanities project "Dhimmis & Muslims – Analysing Multireligious Spaces in the Medieval

University of Stuttgart Visualization Research Center 2 Jul 01, 2022
Building house price data pipelines with Apache Beam and Spark on GCP

This project contains the process from building a web crawler to extract the raw data of house price to create ETL pipelines using Google Could Platform services.

1 Nov 22, 2021
MotorcycleParts DataAnalysis python

We work with the accounting department of a company that sells motorcycle parts. The company operates three warehouses in a large metropolitan area.

NASEEM A P 1 Jan 12, 2022
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
Wafer Fault Detection - Wafer circleci with python

Wafer Fault Detection Problem Statement: Wafer (In electronics), also called a slice or substrate, is a thin slice of semiconductor, such as a crystal

Avnish Yadav 14 Nov 21, 2022
Visions provides an extensible suite of tools to support common data analysis operations

Visions And these visions of data types, they kept us up past the dawn. Visions provides an extensible suite of tools to support common data analysis

168 Dec 28, 2022
Anomaly Detection with R

AnomalyDetection R package AnomalyDetection is an open-source R package to detect anomalies which is robust, from a statistical standpoint, in the pre

Twitter 3.5k Dec 27, 2022
An Aspiring Drop-In Replacement for NumPy at Scale

Legate NumPy is a Legate library that aims to provide a distributed and accelerated drop-in replacement for the NumPy API on top of the Legion runtime. Using Legate NumPy you do things like run the f

Legate 502 Jan 03, 2023
Approximate Nearest Neighbor Search for Sparse Data in Python!

Approximate Nearest Neighbor Search for Sparse Data in Python! This library is well suited to finding nearest neighbors in sparse, high dimensional spaces (like text documents).

Meta Research 906 Jan 01, 2023
DataPrep β€” The easiest way to prepare data in Python

DataPrep β€” The easiest way to prepare data in Python

SFU Database Group 1.5k Dec 27, 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
This repo contains a simple but effective tool made using python which can be used for quality control in statistical approach.

πŸ“ˆ Statistical Quality Control πŸ“‰ This repo contains a simple but effective tool made using python which can be used for quality control in statistica

SasiVatsal 8 Oct 18, 2022
Cleaning and analysing aggregated UK political polling data.

Analysing aggregated UK polling data The tweet collection & storage pipeline used in email-service is used to also collect tweets from @britainelects.

Ajay Pethani 0 Dec 22, 2021