skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.

Morph an input dataset of 2D points into select shapes, while preserving the summary statistics to a given number of decimal points through simulated annealing. It is intended to be used as a teaching tool to illustrate the importance of data visualization.

Convert GWAS summary statistics to VCF

GWAS summary statistics files QC tool

Generate beautiful summary tables from pandas dataframes

Python library for reading GWAS summary statistics in GWAS-VCF files

API for MRC-IEU OpenGWAS

Code and manuscript for the paper "INFERNO: Inference-Aware Neural Optimisation". Automated mirror from CERN GitLab.

Condense and summarize many results form PADLOC into CSV for heatmaps

Python package for reading, combining, meta-analyzing, and saving GWAS summary statistics data.

Generates a latex summary of your contributions.

Data Analysis for Bellabeat, extracting valuable insights on consumer smart device usage. The findings informed impactful marketing strategies, showcasing expertise in data analysis, problem-solving, and effective communication of insights.

Basic python scripts to do EDA

Comparison of summary statistic selection methods with a unifying perspective.

Python scripts that demonstrate use of pandas and seaborn to manipulate and visualize data. Highly commented codes for easier understanding

An app to visualize the key performance metrics of Super-Hotels in Portugal from 2015 to 2017

data wrangling examples

Interfaz gráfica que te permite realizar un breve análisis de datos.