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

Statsmodels: statistical modeling and econometrics in Python

About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an

8k Dec 29, 2022

CRISP: Critical Path Analysis of Microservice Traces

CRISP: Critical Path Analysis of Microservice Traces This repo contains code to compute and present critical path summary from Jaeger microservice tra

110 Jan 06, 2023

:truck: Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

To launch a live notebook server to test optimus using binder or Colab, click on one of the following badges: Optimus is the missing framework to prof

1.3k Dec 30, 2022

Elasticsearch tool for easily collecting and batch inserting Python data and pandas DataFrames

ElasticBatch Elasticsearch buffer for collecting and batch inserting Python data and pandas DataFrames Overview ElasticBatch makes it easy to efficien

21 Mar 16, 2022

Employee Turnover Analysis

Employee Turnover Analysis Submission to the DataCamp competition "Can you help reduce employee turnover?"

1 Feb 13, 2022

A pipeline that creates consensus sequences from a Nanopore reads. I

A pipeline that creates consensus sequences from a Nanopore reads. It clusters reads that are similar to each other and creates a consensus that is then identified using BLAST.

2 May 15, 2022

A distributed block-based data storage and compute engine

Nebula is an extremely-fast end-to-end interactive big data analytics solution. Nebula is designed as a high-performance columnar data storage and tabular OLAP engine.

131 Dec 26, 2022

Parses data out of your Google Takeout (History, Activity, Youtube, Locations, etc...)

google_takeout_parser parses both the Historical HTML and new JSON format for Google Takeouts caches individual takeout results behind cachew merge mu

27 Dec 28, 2022

Data processing with Pandas.

Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter

1 Jan 23, 2022

Stock Analysis dashboard Using Streamlit and Python

StDashApp Stock Analysis Dashboard Using Streamlit and Python If you found the content useful and want to support my work, you can buy me a coffee! Th

27 Dec 09, 2022

Fitting thermodynamic models with pycalphad

ESPEI ESPEI, or Extensible Self-optimizing Phase Equilibria Infrastructure, is a tool for thermodynamic database development within the CALPHAD method

42 Sep 12, 2022

PLStream: A Framework for Fast Polarity Labelling of Massive Data Streams

PLStream: A Framework for Fast Polarity Labelling of Massive Data Streams Motivation When dataset freshness is critical, the annotating of high speed

4 Aug 02, 2022

Conduits - A Declarative Pipelining Tool For Pandas

Conduits - A Declarative Pipelining Tool For Pandas Traditional tools for declaring pipelines in Python suck. They are mostly imperative, and can some

7 Nov 21, 2021

Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.

weightedcalcs weightedcalcs is a pandas-based Python library for calculating weighted means, medians, standard deviations, and more. Features Plays we

98 Dec 31, 2022

A Python adaption of Augur to prioritize cell types in perturbation analysis.

2 Mar 29, 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

2k Dec 29, 2022

.npy, .npz, .mtx converter.

npy-converter Matrix Data Converter. Expand matrix for multi-thread, multi-process Divid matrix for multi-thread, multi-process Support: .mtx, .npy, .

1 Feb 07, 2022

pyETT: Python library for Eleven VR Table Tennis data

pyETT: Python library for Eleven VR Table Tennis data Documentation Documentation for pyETT is located at https://pyett.readthedocs.io/. Installation

5 Nov 19, 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

Python script for transferring data between three drives in two separate stages

Waterlock Waterlock is a Python script meant for incrementally transferring data between three folder locations in two separate stages. It performs ha

13 Nov 10, 2021