Data Science

Right To Work States Analysis Using Python

right-to-work

In this project, we are going to analysis the right to work in different state. This dataset intends to compare certain statistics between RTW and non-RTW states. Namely, union membership, poverty rate, and median household income. The data has been collected from kaggle for downloading the dataset you can click the blow link: https://www.kaggle.com/datasets/brandonconrady/right-to-work-dataset?select=RTW_Membership.csv let’s get our environment ready with the libraries we’ll need and then import the data! Check out the Data Let’s get …

Covid-19 Analysis using Data Science

A novel strain of coronavirus — SARS-CoV-2 — was first detected in December 2019 in Wuhan, a city in China’s Hubei province with a population of 11 million, after an outbreak of pneumonia without an obvious cause. The virus has now spread to over 200 countries and territories across the globe, and was characterised as a pandemic by the World Health Organization (WHO) Let’s get our environment ready with the libraries we’ll need and then …

Public Transport Access Points in the ​UK

In this project, we are going to visualise and analyse all the access points of public transport in Manchester. This project is focusing on spatial data using geopandas and shapely in python. we will use the Counties and Unitary Authorities (December 2016) Super Generalised Clipped Boundaries in England and Wales and also national public transport access nodes datasets which they have been provided by the UK government. checkout the below links to download datasets: Dataset1 Dataset2 let’s importing …

CRISP-DM

The CRISP-DM model has consistently been the most popular data mining process model throughout the past fifteen years that provides a structured approach to planning a data mining project. CRISP-DM stands for cross industry standard process for data mining.  The six phases of the CRISP Data Mining process are business understanding, data understanding, data preparation, modelling, evaluation and deployment [43].  As shown in figure below, CRISP-DM methodology is based on 6 steps:  . BUSINESS UNDERSTANDING  …

The Trade Growth Indicator In Italy

Economists and statisticians use various parameters for evaluating economic growth. The most famous and often used one for assessing the economy of a country is gross domestic product or GDP. Gross domestic product is a size of the worthiness of goods and services that one country produces and has a massive effect on global policy. In addition, GDP tends to best receive the true monetary worth of our economy. In UK, GDP is computed through …