https://eladozcohen.netlify.app/ Recent content in Elad Oz-Cohen on Personal website of Elad Oz-Cohen Data Analytics & Visualizations Hugo -- gohugo.io en Fri, 15 Dec 2023 00:00:00 +0000 https://eladozcohen.netlify.app/blog/to-gg-or-not-to-gg/ Fri, 15 Dec 2023 00:00:00 +0000 https://eladozcohen.netlify.app/blog/to-gg-or-not-to-gg/ R is a popular statistical computing language that offers many libraries for data visualization, including “ggpubr” and “ggplot.” Both packages are designed for creating publication-quality graphics, but they have some key differences that may make one more suitable for your needs than the other. The packages “ggplot2” is an open-source data visualization package in R. It is based on the Grammar of Graphics and provides a layered approach to creating complex plots. https://eladozcohen.netlify.app/project/banking/ Mon, 10 Apr 2023 00:00:00 +0000 https://eladozcohen.netlify.app/project/banking/ Question 1 - Data Exploration Investigating the conversion rate for both the continues and categorical variables in the data set.The goal is to to stop which features are associated with higher conversion rate (note: conversion rate is the ratio between the number of sales to leads) The continues variables: SELECT y, ROUND(AVG(age),2) 'Average Age', ROUND(AVG(emp_var_rate),2) 'Average Employee Varation Rate', ROUND(AVG(CPI_index),2) 'CPI index', ROUND(AVG(cons_conf_index),2) 'Consumer confidence index' FROM bank_data GROUP BY y The categorical variables: https://eladozcohen.netlify.app/project/mean-and-median-manipulation/ Wed, 01 Mar 2023 00:00:00 +0000 https://eladozcohen.netlify.app/project/mean-and-median-manipulation/ Sample screenshot: https://eladozcohen.netlify.app/project/amazon_scrapping/ Thu, 02 Feb 2023 00:00:00 +0000 https://eladozcohen.netlify.app/project/amazon_scrapping/ The following code retrives the name and price of an Amazon product an checks it’s prices at fixed intervals untill the product’s price drops below a specified point. The accumulated data is then stored in a CSV for later use. Please Feel free to use this code and modify it for your own project. # Importing libraries import time import csv import datetime import requests import os from bs4 import BeautifulSoup # Connecting to the Amazon's product webpage. https://eladozcohen.netlify.app/blog/subquaries-mssql/ Thu, 02 Feb 2023 00:00:00 +0000 https://eladozcohen.netlify.app/blog/subquaries-mssql/ Sub-queries, also known as nested queries, are an important feature in MSSQL that allow you to use the result of one query as the input for another query. This can be incredibly useful for complex queries that require multiple steps or when you need to retrieve data that depends on the results of another query. There are two main types of sub-queries in MSSQL: simple sub-queries and correlated sub-queries. Simple Sub-Queries A simple sub-query is a nested query that is completely independent of the outer query. https://eladozcohen.netlify.app/blog/windows-func-mssql/ Sat, 21 Jan 2023 00:00:00 +0000 https://eladozcohen.netlify.app/blog/windows-func-mssql/ Are you tired of writing repetitive SQL queries that perform the same calculation over and over again? Do you want to be the life of the SQL party and impress your colleagues with your newfound SQL skills? Well, look no further than windows functions in MSSQL! Windows functions, also known as windowed or analytic functions, are a powerful feature in MSSQL that allow you to perform calculations across a set of rows that are related to the current row. https://eladozcohen.netlify.app/blog/text-analysis-r/ Wed, 28 Dec 2022 00:00:00 +0000 https://eladozcohen.netlify.app/blog/text-analysis-r/ Text analysis in R is a powerful tool for exploring and understanding textual data. With R, you can perform a range of text analysis tasks, such as text cleaning, tokenization, stemming, sentiment analysis, and topic modeling. In this blog post, we will introduce you to some of the key text analysis techniques in R, and show you how to get started with analyzing your own text data. Let’s get staRted! (Note: the following blog assumes basic knowledge with the R programming language. https://eladozcohen.netlify.app/talk/campfire/ Tue, 12 Jan 2021 00:00:00 +0000 https://eladozcohen.netlify.app/talk/campfire/ I’m really excited to give this talk! Stay tuned for video and slides. https://eladozcohen.netlify.app/talk/second-seedling/ Fri, 01 Jan 2021 14:15:59 -0600 https://eladozcohen.netlify.app/talk/second-seedling/ https://eladozcohen.netlify.app/talk/seedling/ Mon, 13 Jan 2020 14:15:59 -0600 https://eladozcohen.netlify.app/talk/seedling/ https://eladozcohen.netlify.app/elements/ Mon, 18 Feb 2019 12:27:33 -0600 https://eladozcohen.netlify.app/elements/ Font Sizes A A A A A A A A 6rem (96px) 5rem (80px) 3rem (48px) 2.25rem (36px) 1.5rem (24px) 1.25rem (20px) 1rem (16px) .875rem (14px) Type Samples Head­line Sub­head­line Level 1 Heading One page to rule them all...well, not really. This page displays sample typography and page elements to illustrate their style. Things like headings and paragraphs showing the beautiful type scale, form elements, tabular data, and image layouts just to name a few. https://eladozcohen.netlify.app/contributors/ Mon, 01 Jan 0001 00:00:00 +0000 https://eladozcohen.netlify.app/contributors/ Thank you to all the folks who have contributed both technical and creative skills to this project: Desirée De Leon 🦒 (designed 5 of the custom color themes, made illustrations for the workshop, and provided general aesthetic feedback along the way) Garrick Aden-Buie 🧙‍♀️ (debugged headroom.js and lent his panelset.js code to the theme) Allison Horst 🐕 (awesome illustrations of campfires, seedlings, and evergreens, as well as my R Markdown hedgehog mascot 🦔) https://eladozcohen.netlify.app/data-visualizations/ Mon, 01 Jan 0001 00:00:00 +0000 https://eladozcohen.netlify.app/data-visualizations/ A page containing (an updating) visualizations from various projects and occasions. Visualizations titles are linked referencing either to the source code or to a gallery. Only selected visualizations are shown below. Enjoy! Dashboard In this Tableau project I created a dashboard analyzing the behavior of customers. Israel Bus Stops Density In this project, I visualized the amount of bus stops per 7 squared kilometers. And as indicated from the plot, the density is proportional to one’s distance to the central districts of Israel. https://eladozcohen.netlify.app/license/ Mon, 01 Jan 0001 00:00:00 +0000 https://eladozcohen.netlify.app/license/ My blog posts are released under a Creative Commons Attribution-ShareAlike 4.0 International License. https://eladozcohen.netlify.app/project/covid_portfolio/ Mon, 01 Jan 0001 00:00:00 +0000 https://eladozcohen.netlify.app/project/covid_portfolio/ Data used: https://ourworldindata.org/ Q1: Exploring infections death rates both at a global scale and at a continent scale. /* Using CTE to create a derived table with the relevant data at the continent scale */ WITH continents_average AS ( SELECT 'Continent Average' AS 'Location', CONVERT(DATE,v.date,103) AS 'Date', ROUND(SUM(cd.new_cases)/COUNT(DISTINCT cd.continent),0) AS 'New Infections', ROUND(SUM(v.daily_vaccinations)/COUNT(DISTINCT cd.continent),0) AS 'Vaccinations', SUM(CAST(cd.new_deaths AS INT))/COUNT(DISTINCT cd.continent) AS 'New Deaths' FROM vaccinations v INNER JOIN coviddeaths cd ON cd. https://eladozcohen.netlify.app/project/nashville_housing_portfolio/ Mon, 01 Jan 0001 00:00:00 +0000 https://eladozcohen.netlify.app/project/nashville_housing_portfolio/ Standardize Date Format Select saleDateConverted, CONVERT(Date,SaleDate) From PortfolioProject.dbo.NashvilleHousing Update NashvilleHousing SET SaleDate = CONVERT(Date,SaleDate) -- If it doesn't Update properly ALTER TABLE NashvilleHousing Add SaleDateConverted Date; Update NashvilleHousing SET SaleDateConverted = CONVERT(Date,SaleDate) Populate Property Address data Select * From PortfolioProject.dbo.NashvilleHousing --Where PropertyAddress is null order by ParcelID Select a.ParcelID, a.PropertyAddress, b.ParcelID, b.PropertyAddress, ISNULL(a.PropertyAddress,b.PropertyAddress) From PortfolioProject.dbo.NashvilleHousing a JOIN PortfolioProject.dbo.NashvilleHousing b on a.ParcelID = b.ParcelID AND a.[UniqueID ] <> b.[UniqueID ] Where a.