12. April 2023

Bike Share Analysis using R

Description: In this case study, an imaginary junior data analyst works in marketing department at a bike-share company. The director believes the company’s success depends on maximizing the number of annual membership. The assignment for the analytic team is to analyze available dataset to answer following questions: How do annual members and casual riders use rental bike differently? Why would casual riders buy annual memberships? How can digital media used to influence casual riders to become members?

12. April 2023

Best way to speed up a bulk of HTTP requests in Python

Description: I had a programming project that needs to read a bulk amount of insider transactions (form 4s) from sec.gov daily and build a rank list of the most successfull insiders in the US. Therefore I need to build a Python script that could make millions URL-requests efficiently, remove unneccessary form 4s and evaluate the remaining datas as Pandas DataFrame. In this Medium article , I will only concentrate on the downloader programming part.

2. April 2023

Plotly Dashboard to Evaluate Stock Price

Description: This project aims to help calculating the fair value of a company stock. It calculate if a stock is over- or undervalued, based on its last available annual earning and current interest rate. Without this web app, the author would have to scour the internet to copy the financial datas and entering them manualy into calculator to get an estimation. Warning: If the app is in sleep mode, it would take 30–45 seconds to reactivate, so have patience.