Data analysis and visualisation projects from a range of individual projects and applications

Last update: Jan 25, 2022

Overview

Python-Data-Analysis-and-Visualisation-Projects

Data analysis and visualisation projects from a range of individual projects and applications.

Python matplotlib and seaborn analysis of cryogen-free 9 tesla superconducting magnet system temperature performance following cryocooler service.
Python matplotlib analysis of 9.4 tesla cryogen-free DNP superconducting magnet system temperature log file data during hyperpolarisation process.
Template and personal examples of 3D surface plots of multiple variable functions using matplotlib in python.
Analysis of Tokyo 2020 Olympics data from kaggle.com

Owner

Tom Ritman-Meer

I completed a PhD in Physics at King's College London in 2009 and have been working in superconductivity since then. Now embracing the Data Science world.

GitHub Repository

Randomisation-based inference in Python based on data resampling and permutation.

67 Dec 27, 2022

My solution to the book A Collection of Data Science Take-Home Challenges

DS-Take-Home Solution to the book "A Collection of Data Science Take-Home Challenges". Note: Please don't contact me for the dataset. This repository

1.5k Jan 03, 2023

This project is the implementation template for HW 0 and HW 1 for both the programming and non-programming tracks

4 Mar 06, 2022

Aggregating gridded data (xarray) to polygons

A package to aggregate gridded data in xarray to polygons in geopandas using area-weighting from the relative area overlaps between pixels and polygons. Check out the binder link above for a sample c

42 Nov 09, 2022

Handle, manipulate, and convert data with units in Python

unyt A package for handling numpy arrays with units. Often writing code that deals with data that has units can be confusing. A function might return

304 Jan 02, 2023

Pandas and Dask test helper methods with beautiful error messages.

beavis Pandas and Dask test helper methods with beautiful error messages. test helpers These test helper methods are meant to be used in test suites.

18 Nov 28, 2022

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

scikit-posthocs is a Python package that provides post hoc tests for pairwise multiple comparisons that are usually performed in statistical data anal

264 Dec 30, 2022

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit

2.2k Dec 25, 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

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

Finding project directories in Python (data science) projects, just like there R rprojroot and here packages

Find relative paths from a project root directory Finding project directories in Python (data science) projects, just like there R here and rprojroot

102 Nov 16, 2022

Snakemake workflow for converting FASTQ files to self-contained CRAM files with maximum lossless compression.

Snakemake workflow: name A Snakemake workflow for description Usage The usage of this workflow is described in the Snakemake Workflow Catalog. If

1 Dec 16, 2021

DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN

DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN. Allowing for both categorical and numerical data, DenseClus makes it possible to incorporate all features in cluste

53 Dec 08, 2022

Program that predicts the NBA mvp based on data from previous years.

NBA MVP Predictor A machine learning model using RandomForest Regression that predicts NBA MVP's using player data. Explore the docs » View Demo · Rep

1 Jan 21, 2022

Python data processing, analysis, visualization, and data operations

Python This is a Python data processing, analysis, visualization and data operations of the source code warehouse, book ISBN: 9787115527592 Descriptio

1 Jan 16, 2022

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

2 Dec 19, 2021

PyPDC is a Python package for calculating asymptotic Partial Directed Coherence estimations for brain connectivity analysis.

Python asymptotic Partial Directed Coherence and Directed Coherence estimation package for brain connectivity analysis. Free software: MIT license Doc

3 Nov 26, 2022