Name: HATIM MANSOR
Type: User
Company: Melbourne Polytechnic
Bio: Education is the foundation for everything, As a teacher I take pride in my profession as someone who converts complex topic into a simple to understand info.
Location: Melbourne
Blog: https://www.linkedin.com/in/hatim-mansor-a420ab102/
HATIM MANSOR's Projects
In this project, I have built an interactive dashboard to explore the Belly Button Biodiversity dataset, which catalogs the microbes that colonise human navels.
Analysed US Geological Survey natural hazards, I have develop an application that visualise earthquake data using Python Leaflet.
In this project, I have designed the tables to hold data in the CSVs, import the CSVs into a SQL database, and answer questions about the data.
Config files for my GitHub profile.
data Visualisation using D3
Using Python Pandas to analyse a gaming company row data and generate reports, row data have been provided over csv file and contain some of the players name and age, games names and price and some of identification fields.
Generate a simple HTML page based on a markdown file, that looks like GitHub's stylesheet
Web application that scrapes websites for data related to the mission to Mars
Leaflet, Scrap and D3 project
Compare the performance of Pymaceuticals' drug of interest, Capomulin, versus the other treatment regimens
In this project I have analysed two datasets as csv file, using basic Python scripting skills
Basic climate analysis and data exploration of climate database
using a simple VBA code to analyse and present some data on Excel sheets.
App that can be used by any buyer or an investor to find suburb sales information like number of listed houses, number of sold houses, median price, renting information, etc. Linear Regression analysis being used to predict house prices.
Whether financial, political, or social -- data's true power lies in its ability to answer questions definitively
HTML development
Extract, Transform and Load data to a database from 4 different CSV sources regarding world happiness for further data analysis.