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amazon_vine_analysis

Determine if there is any bias toward favorable reviews from Vine members

bikeshare

This analysis will use Pandas to convert the trip duration column to a DateTime data type, using Python with Tableau.

certifcations

credit_risk_analysis

In this analysis, I will be using several supervised machine learning models to predict credit risk on loan data.

election_analysis

In this analysis, I used ERDs and Schemas to design databases and write intermediate-level SQL queries to answer critical business questions for the company's HR department. The result is a well-structured database with implemented constraints and foreign and primary keys.

kickstarter-analysis

I used Excel to perform this analysis. It included various advanced features such as conditional formatting, interactive pivot tables, VLOOKUPs, and box and whiskers charts.

mapping_earthquakes

This analysis aims to create an interactive map with JavaScript and Leaflet to create three new maps based on the data collected from the earthquake maps.

mechacar_statistical_analysis

Statistical testing providing data insight on the performance of vehicles with R

movies-etl

I am creating an ETL (Extract, Transform, and Load) pipeline for this analysis using Python, RegEx, and SQL Database.

pewlett-hackard-analysis

I used Schemas and ERDs to create databases in SQL that can answer critical HR questions in this analysis. The resulting database is well-structured and has implemented constraints and primary keys.

pyber_analysis

This analysis aims to create a line graph that shows the total fares by each city type, Urban, Suburban, and Rural, using Matplotlib on Jupyter Notebook.

school_district_analysis

This analysis aims to replace the inaccurate data for reading and math scores at Thomas High School for the 9th graders while keeping the rest of the data intact, using Jupyter Notebook, Python, and Pandas.

stock-analysis

This data analysis is a VBA stock-market analysis. I am using Microsoft Visual Basic for Applications as a tool, including conditional statements, for loops, static and conditional formatting, and code refactoring to improve efficiency and clarity.

surfs_up

This project aims to analyze Hawaii's temperature data collected in June and December.

sw_data

world_weather_analysis

This analysis aims to create a trip app that plans the route and locations with the weather, hotels, and travel destinations—using google maps to displace places to travel, using google API on Jupyter Notebook.