FLOOD PREDICITON IN LAGOS USING AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA)
In this project, I predicted the next day Lagos would be flooded using a statistics model called ARIMA.
INEC CASE STUDY: Ensuring Election Integrity
In this project, I used geospatial analysis to determine the latitude and longitude of local government in Edo state and sorted outliers in polling party.
RETAIL SALES DATA
In this project, I carried out an analysis to determine the total sales within the timeframe given in the dataset. I also caaried out an analysis to determine the location with the highest sales and the distribution of the deal size.
ANALYZING A SOCCER DATASET - USING PYTHON
In this project, we analyzed the soccer dataset to determine the country with the most goals and some other analysis.
DATA CLEANING PROJECT
This project is al about data cleaning. It a real life dataset, it was collated from a survey sent out, the ssurvery had open ended questions.
WEBSCRAPING PROJECT USING BEAUTIFUL SOUP
In this project, we scraped and visualiezed a dataset containing all the countries in the world.
A PRACTICAL INFERENTIAL STATISTICS ON VEE SHOE COMPANY
Vee shoe company do not take note of their inventories, they just keep restocking equal sizes of all shoes. Most times shoes sizes that are in demand are always out of stock. We examined the problem for Vee shoes company, so they only restock the shoe sizes that are in demand by their customers.