Titanic data analysis for python

Overview

Titanic-data-analysis

This Repo is an analysis on Titanic_mod.csv This csv file contains some assumed data of the Titanic ship after sinking This full is done in Python using Numpy

Functionalities we have done:-

  1. Reading a file without numpy
  2. Reading a file using numpy and storing it in numpy array
  3. Finding the occurences and top occurences in the file according to the condition
  4. fare comparisons with the survivors and non survivors
  5. Relation in:- i) Highest value of number of siblings and/or spouses onboard ii) Mean value of parents and/or children onboard iii) 50th-percentile value of fare paid iv) Cheapest non-zero fare paid
  6. Menu driven for Research analysis i. Compute Correlation ii. Ranked List of 20 Oldest Survivors by Passenger Cabin Class Number iii. Ranked List of 20 Female Survivors by Highest Non-Self Family Member Onboard Count and then by Highest fare
Owner
Hardik Bhanot
Hardik Bhanot
CubingB is a timer/analyzer for speedsolving Rubik's cubes, with smart cube support

CubingB is a timer/analyzer for speedsolving Rubik's cubes (and related puzzles). It focuses on supporting "smart cubes" (i.e. bluetooth cubes) for recording the exact moves of a solve in real time.

Zach Wegner 5 Sep 18, 2022
My solution to the book A Collection of Data Science Take-Home Challenges

DS-Take-Home Solution to the book "A Collection of Data Science Take-Home Challenges". Note: Please don't contact me for the dataset. This repository

Jifu Zhao 1.5k Jan 03, 2023
Tokyo 2020 Paralympics, Analytics

Tokyo 2020 Paralympics, Analytics Thanks for checking out my app! It was built entirely using matplotlib and Tokyo 2020 Paralympics data. This applica

Petro Ivaniuk 1 Nov 18, 2021
Python Project on Pro Data Analysis Track

Udacity-BikeShare-Project: Python Project on Pro Data Analysis Track Basic Data Exploration with pandas on Bikeshare Data Basic Udacity project using

Belal Mohammed 0 Nov 10, 2021
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
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

Amundsen 3.7k Jan 03, 2023
CPSPEC is an astrophysical data reduction software for timing

CPSPEC manual Introduction CPSPEC is an astrophysical data reduction software for timing. Various timing properties, such as power spectra and cross s

Tenyo Kawamura 1 Oct 20, 2021
Shot notebooks resuming the main functions of GeoPandas

Shot notebooks resuming the main functions of GeoPandas, 2 notebooks written as Exercises to apply these functions.

1 Jan 12, 2022
Universal data analysis tools for atmospheric sciences

U_analysis Universal data analysis tools for atmospheric sciences Script written in python 3. This file defines multiple functions that can be used fo

Luis Ackermann 1 Oct 10, 2021
Randomisation-based inference in Python based on data resampling and permutation.

Randomisation-based inference in Python based on data resampling and permutation.

67 Dec 27, 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

ROOT 2k Dec 29, 2022
Very useful and necessary functions that simplify working with data

Additional-function-for-pandas Very useful and necessary functions that simplify working with data random_fill_nan(module_name, nan) - Replaces all sp

Alexander Goldian 2 Dec 02, 2021
MIR Cheatsheet - Survival Guidebook for MIR Researchers in the Lab

MIR Cheatsheet - Survival Guidebook for MIR Researchers in the Lab

SeungHeonDoh 3 Jul 02, 2022
pipeline for migrating lichess data into postgresql

How Long Does It Take Ordinary People To "Get Good" At Chess? TL;DR: According to 5.5 years of data from 2.3 million players and 450 million games, mo

Joseph Wong 182 Nov 11, 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
Data imputations library to preprocess datasets with missing data

Impyute is a library of missing data imputation algorithms. This library was designed to be super lightweight, here's a sneak peak at what impyute can do.

Elton Law 329 Dec 05, 2022
PyEmits, a python package for easy manipulation in time-series data.

PyEmits, a python package for easy manipulation in time-series data. Time-series data is very common in real life. Engineering FSI industry (Financial

Thompson 5 Sep 23, 2022
A utility for functional piping in Python that allows you to access any function in any scope as a partial.

WithPartial Introduction WithPartial is a simple utility for functional piping in Python. The package exposes a context manager (used with with) calle

Michael Milton 1 Oct 26, 2021
Analyzing Earth Observation (EO) data is complex and solutions often require custom tailored algorithms.

eo-grow Earth observation framework for scaled-up processing in Python. Analyzing Earth Observation (EO) data is complex and solutions often require c

Sentinel Hub 18 Dec 23, 2022