Flenser is a simple, minimal, automated exploratory data analysis tool.

Related tags

Data Analysisflenser
Overview

Flenser

Have you ever been handed a dataset you've never seen before?

Flenser is a simple, minimal, automated exploratory data analysis tool. It runs a set of simple tests against each column within a dataset, and outputs a HTML file noting which tests trigger per column, alongside relevant outputs.

Flenser is intended to be run at the earliest stages of data exploration, when you have no familiarity with the dataset. It will do its best to tell you what is actually going on in the dataset, regardless of what is supposed to be going on in the dataset.

Flenser is designed to be helpful, not 'helpful': it will not attempt to modify or make assumptions about your dataset. Instead it will apply each simple test, to every column, and show you outputs that will allow your human brain to make decisions about what is actually going on.

Additional tests can be added by modifying the Test dataclass.

How to run

python3 flenser.py 'filename.csv'

Flenser will print its default list of nans. You may specify one or more additional nan values to use, as follows:

python3 flenser.py 'filename.csv' 'nan1' 'nan2' 'nan3' ...

With thanks to

Recurse
Kelly F
Rebecca H
Azhad S
Shivam S
Christina M
Adam K
Edith V
Justin R

Owner
John McCambridge
John McCambridge
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
VHub - An API that permits uploading of vulnerability datasets and return of the serialized data

VHub - An API that permits uploading of vulnerability datasets and return of the serialized data

André Rodrigues 2 Feb 14, 2022
Finds, downloads, parses, and standardizes public bikeshare data into a standard pandas dataframe format

Finds, downloads, parses, and standardizes public bikeshare data into a standard pandas dataframe format.

Brady Law 2 Dec 01, 2021
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

The yt project 304 Jan 02, 2023
Projeto para realizar o RPA Challenge . Utilizando Python e as bibliotecas Selenium e Pandas.

RPA Challenge in Python Projeto para realizar o RPA Challenge (www.rpachallenge.com), utilizando Python. O objetivo deste desafio é criar um fluxo de

Henrique A. Lourenço 1 Apr 12, 2022
Data Competition: automated systems that can detect whether people are not wearing masks or are wearing masks incorrectly

Table of contents Introduction Dataset Model & Metrics How to Run Quickstart Install Training Evaluation Detection DATA COMPETITION The COVID-19 pande

Thanh Dat Vu 1 Feb 27, 2022
Useful tool for inserting DataFrames into the Excel sheet.

PyCellFrame Insert Pandas DataFrames into the Excel sheet with a bunch of conditions Install pip install pycellframe Usage Examples Let's suppose that

Luka Sosiashvili 1 Feb 16, 2022
PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j.

PostQF Copyright © 2022 Ralph Seichter PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j. See the ma

Ralph Seichter 11 Nov 24, 2022
Find exposed data in Azure with this public blob scanner

BlobHunter A tool for scanning Azure blob storage accounts for publicly opened blobs. BlobHunter is a part of "Hunting Azure Blobs Exposes Millions of

CyberArk 250 Jan 03, 2023
A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

This tutorial's purpose is to introduce Pythonistas to methods for scaling their data science and machine learning work to larger datasets and larger models, using the tools and APIs they know and lo

Coiled 102 Nov 10, 2022
Python Practicum - prepare for your Data Science interview or get a refresher.

Python-Practicum Python Practicum - prepare for your Data Science interview or get a refresher. Data Data visualization using data on births from the

Jovan Trajceski 1 Jul 27, 2021
Single-Cell Analysis in Python. Scales to >1M cells.

Scanpy – Single-Cell Analysis in Python Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It inc

Theis Lab 1.4k Jan 05, 2023
Binance Kline Data With Python

Binance Kline Data by seunghan(gingerthorp) reference https://github.com/binance/binance-public-data/ All intervals are supported: 1m, 3m, 5m, 15m, 30

shquant 5 Jul 13, 2022
Performance analysis of predictive (alpha) stock factors

Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour

Quantopian, Inc. 2.5k Jan 09, 2023
Import, connect and transform data into Excel

xlwings_query Import, connect and transform data into Excel. Description The concept is to apply data transformations to a main query object. When the

George Karakostas 1 Jan 19, 2022
Employee Turnover Analysis

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

Jannik Wiedenhaupt 1 Feb 13, 2022
The OHSDI OMOP Common Data Model allows for the systematic analysis of healthcare observational databases.

The OHSDI OMOP Common Data Model allows for the systematic analysis of healthcare observational databases.

Bell Eapen 14 Jan 02, 2023
Developed for analyzing the covariance for OrcVIO

about This repo is developed for analyzing the covariance for OrcVIO environment setup platform ubuntu 18.04 using conda conda env create --file envir

Sean 1 Dec 08, 2021
follow-analyzer helps GitHub users analyze their following and followers relationship

follow-analyzer follow-analyzer helps GitHub users analyze their following and followers relationship by providing a report in html format which conta

Yin-Chiuan Chen 2 May 02, 2022
Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which he recommends to buy. We will use this data to build a portfolio

Backtesting the "Cramer Effect" & Recommendations from Cramer Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which

Gábor Vecsei 12 Aug 30, 2022