Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.

Overview

Password-Data-Analysis

If your password is on this list of 10,000 most common passwords, you need a new password. A hacker can use or generate files like this, which may readily be compiled from breaches. Usually, passwords are not tried one-by-one against a system's secure server online; instead, a hacker might manage to gain access to a shadowed password file protected by a one-way encryption algorithm, then test each entry in a file like this to see whether it encrypted form matches what the server has on record. The passwords may then be tried against any account online that can be linked to the first, to test for passwords reused on other sites.

From data we initially get this basic information-

  • Mean length ~= 6.65

  • Mean num_chars ~= 5.03

  • Mean num_digits ~= 1.62

  • Mean num_upper ~= 0.03

  • Mean num_lower ~= 5.005

  • Mean num_special ~= 0.003

  • Mean num_vowels ~= 1.81

  • Mean num_syllables ~= 1.61

  • Minimum password length = 3

  • Maximum password length = 16

Top 10 shortest passwords-

sht-pwd

Top 10 longest passwords-

lg-pwd

Plotting password length data-

plt

Co-relations between diffrent parameters-

htmap

Owner
Aryan Raj
Novice coder
Aryan Raj
Codes for the collection and predictive processing of bitcoin from the API of coinmarketcap

Codes for the collection and predictive processing of bitcoin from the API of coinmarketcap

Teo Calvo 5 Apr 26, 2022
PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems

PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems

1 Feb 07, 2022
This tool parses log data and allows to define analysis pipelines for anomaly detection.

logdata-anomaly-miner This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis wit

AECID 32 Nov 27, 2022
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
We're Team Arson and we're using the power of predictive modeling to combat wildfires.

We're Team Arson and we're using the power of predictive modeling to combat wildfires. Arson Map Inspiration There’s been a lot of wildfires in Califo

Jerry Lee 3 Oct 17, 2021
High Dimensional Portfolio Selection with Cardinality Constraints

High-Dimensional Portfolio Selecton with Cardinality Constraints This repo contains code for perform proximal gradient descent to solve sample average

Du Jinhong 2 Mar 22, 2022
Python Implementation of Scalable In-Memory Updatable Bitmap Indexing

PyUpBit CS490 Large Scale Data Analytics — Implementation of Updatable Compressed Bitmap Indexing Paper Table of Contents About The Project Usage Cont

Hyeong Kyun (Daniel) Park 1 Jun 28, 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

Tharsis Souza 5 Nov 19, 2022
Hue Editor: Open source SQL Query Assistant for Databases/Warehouses

Hue Editor: Open source SQL Query Assistant for Databases/Warehouses

Cloudera 759 Jan 07, 2023
The micro-framework to create dataframes from functions.

The micro-framework to create dataframes from functions.

Stitch Fix Technology 762 Jan 07, 2023
An easy-to-use feature store

A feature store is a data storage system for data science and machine-learning. It can store raw data and also transformed features, which can be fed straight into an ML model or training script.

ByteHub AI 48 Dec 09, 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
A python package which can be pip installed to perform statistics and visualize binomial and gaussian distributions of the dataset

GBiStat package A python package to assist programmers with data analysis. This package could be used to plot : Binomial Distribution of the dataset p

Rishikesh S 4 Oct 17, 2022
Spaghetti: an open-source Python library for the analysis of network-based spatial data

pysal/spaghetti SPAtial GrapHs: nETworks, Topology, & Inference Spaghetti is an open-source Python library for the analysis of network-based spatial d

Python Spatial Analysis Library 203 Jan 03, 2023
simple way to build the declarative and destributed data pipelines with python

unipipeline simple way to build the declarative and distributed data pipelines. Why you should use it Declarative strict config Scaffolding Fully type

aliaksandr-master 0 Jan 26, 2022
Renato 214 Jan 02, 2023
Transform-Invariant Non-Negative Matrix Factorization

Transform-Invariant Non-Negative Matrix Factorization A comprehensive Python package for Non-Negative Matrix Factorization (NMF) with a focus on learn

EMD Group 6 Jul 01, 2022
Analysis scripts for QG equations

qg-edgeofchaos Analysis scripts for QG equations FIle/Folder Structure eigensolvers.py - Spectral and finite-difference solvers for Rossby wave eigenf

Norman Cao 2 Sep 27, 2022
Stochastic Gradient Trees implementation in Python

Stochastic Gradient Trees - Python Stochastic Gradient Trees1 by Henry Gouk, Bernhard Pfahringer, and Eibe Frank implementation in Python. Based on th

John Koumentis 2 Nov 18, 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

Maksim Terpilowski 264 Dec 30, 2022