Historical Weather Data Analysis

As an avid gardener I had to know the best time of year for agricultural activites, for example when grafting citrus trees, the best temperature at which citrus wounds heal is between (21°C and 29°C) according to fruitmentor.com

knowing what the temperature and weather is like where I live gives me an idea in what I can or can't plant, graft, grow. I cant grow mangoes where i live because mangoes are freeze sensitive and require humid and warm weather all year round

The following are the steps I took to make this project from collecting the data to visualizing

• Web Scraping: scraping the historical hourly data from a website using Selenium
• Data cleansing: cleaning, modifying using regular expression, and converting the data into a CSV file for better handling
• Data Visualization: more cleaning and analysis of the data to get the useful data for visualization and reporting using pandas and Matplotlib
• Power BI Dashboard: telling the story through visuals

Power BI Desktop View

Leaked Facebook Data Analysis

On April 2021 the data of more than half a billion Facebook user from 106 countries have been leaked, around three million belong to Jordanians, the data was puublished on a hacking forum and Facebook said the data was old, from a previously reported leak in 2019. It has denied any wrongdoing, saying that the data was scraped from publicly available information on the site!

Although the sample is huge it doesn't reflect the real world in some aspects, males are two times the females and there's a pattern for birthdays growing almost exponentially with birthdays that ocuured in 1995 being at the top, maybe there was a pattern in how the data was leaked.
Mohamed is the most common name, which is highly likely considering Mohamed is one of the most common names worldwide, most used carrier is Zain at 46.6%, what i find hard to believe is that Yahoo is the top email domain name.

This repo was made to analyze the data, the data was in a good clean shape mostly, just required some touches and modification.

the exploratory analysis will not show sensitive data like the emails or phone numbers, just a simple analysis like phone carrier,email domain,religion and gender.

Power Bi Dashboard

r/AskMiddleEast 2022 Census

This is the first Census for the r/AskMiddleEast subreddit

Analysis is performed on 132 entries this is the end number after cleaning down from 20500, spam and vandalism occured in the data collection process.

Used Google Forms to collect the data, pandas for cleaning the data and Power BI for the data visualization.

In conclusion this subreddit is mainly introvert single brown-eyed young men who are not sutisfied with their countries.

First Page

Python

this repository contains solutions to problems “katas” from Codewars website, the solutions are written in Python. relied on libraries and researching to come up with solutions.

Used mathematical theorems, generators, list comprehension, dictionaries, and one- liners “Pythonic way”

import re
def is_pangram(s):
    return len(set(re.findall("[a-z]",s.lower())))==26

def is_triangle(a, b, c):
    tl=(sorted([a,b,c]))
    if not(any(tl)>1):
        if tl[0]+tl[1]>tl[2]:
            return True
        else:
            return False
    else:
        return False

Web Scraping and Automation

scraping different content,data and elements from the web quickly and efficiently, cleaning and organizing the data in different ways and formats.

Autoamtion, controlling the computer, mouse, keyboard, making a macro-like procedures with minimal human intervention.

The gif below is an axample of web scraping it is the execution of this code, where the program collects all the available data on medicine from Jordan Food and Drug Administration JFDA, The data includes audience price, hospital price, trade name, concentration, tax, and dealer .

GIF Showing Web Scraping In Action

and the notebook below shows API calling, collecting the data, storing the data in a data frame and lastly visualizing the data.

API calling Notebook