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
This creates a ohlc timeseries from downloaded CSV files from NSE India website and makes a SQLite database for your research.

NSE-timeseries-form-CSV-file-creator-and-SQL-appender- This creates a ohlc timeseries from downloaded CSV files from National Stock Exchange India (NS

PILLAI, Amal 1 Oct 02, 2022
Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

AWS Data Wrangler Pandas on AWS Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretMana

Amazon Web Services - Labs 3.3k Jan 04, 2023
bigdata_analyse 大数据分析项目

bigdata_analyse 大数据分析项目 wish 采用不同的技术栈,通过对不同行业的数据集进行分析,期望达到以下目标: 了解不同领域的业务分析指标 深化数据处理、数据分析、数据可视化能力 增加大数据批处理、流处理的实践经验 增加数据挖掘的实践经验

Way 2.4k Dec 30, 2022
A stock analysis app with streamlit

StockAnalysisApp A stock analysis app with streamlit. You select the ticker of the stock and the app makes a series of analysis by using the price cha

Antonio Catalano 50 Nov 27, 2022
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

Raphael Vallat 1.2k Dec 31, 2022
A data structure that extends pyspark.sql.DataFrame with metadata information.

MetaFrame A data structure that extends pyspark.sql.DataFrame with metadata info

Invent Analytics 8 Feb 15, 2022
Weather Image Recognition - Python weather application using series of data

Weather Image Recognition - Python weather application using series of data

Kushal Shingote 1 Feb 04, 2022
Reading streams of Twitter data, save them to Kafka, then process with Kafka Stream API and Spark Streaming

Using Streaming Twitter Data with Kafka and Spark Reading streams of Twitter data, publishing them to Kafka topic, process message using Kafka Stream

Rustam Zokirov 1 Dec 06, 2021
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning focusing on advanced Markov chain Monte Carlo (MCMC) an

PyMC 7.2k Dec 30, 2022
A data parser for the internal syncing data format used by Fog of World.

A data parser for the internal syncing data format used by Fog of World. The parser is not designed to be a well-coded library with good performance, it is more like a demo for showing the data struc

Zed(Zijun) Chen 40 Dec 12, 2022
Python for Data Analysis, 2nd Edition

Python for Data Analysis, 2nd Edition Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media Buy

Wes McKinney 18.6k Jan 08, 2023
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

48 Dec 21, 2022
Fast, flexible and easy to use probabilistic modelling in Python.

Please consider citing the JMLR-MLOSS Manuscript if you've used pomegranate in your academic work! pomegranate is a package for building probabilistic

Jacob Schreiber 3k Jan 02, 2023
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

GWpy 342 Jan 07, 2023
cLoops2: full stack analysis tool for chromatin interactions

cLoops2: full stack analysis tool for chromatin interactions Introduction cLoops2 is an extension of our previous work, cLoops. From loop-calling base

YaqiangCao 25 Dec 14, 2022
A set of functions and analysis classes for solvation structure analysis

SolvationAnalysis The macroscopic behavior of a liquid is determined by its microscopic structure. For ionic systems, like batteries and many enzymes,

MDAnalysis 19 Nov 24, 2022
Geospatial data-science analysis on reasons behind delay in Grab ride-share services

Grab x Pulis Detailed analysis done to investigate possible reasons for delay in Grab services for NUS Data Analytics Competition 2022, to be found in

Keng Hwee 6 Jun 07, 2022
Tools for analyzing data collected with a custom unity-based VR for insects.

unityvr Tools for analyzing data collected with a custom unity-based VR for insects. Organization: The unityvr package contains the following submodul

Hannah Haberkern 1 Dec 14, 2022
Udacity-api-reporting-pipeline - Udacity api reporting pipeline

udacity-api-reporting-pipeline In this exercise, you'll use portions of each of

Fabio Barbazza 1 Feb 15, 2022
Efficient matrix representations for working with tabular data

Efficient matrix representations for working with tabular data

QuantCo 70 Dec 14, 2022