Analytics turn data into knowledge, which help to make more informed decision.
This post tests CAPM and Fama French 3 Factors model on both time series data and cross-sectional data. The latter performs much better and explain on average 91% variance for time series regressions and only around 20% for cross-sectional regressions.
Lending Club is fintech company providing a platform for P2P lendings. In this post, we analysed a dataset from Lending Club and try to explain the pricing, aka interest rate, with demographical, economical and time information. R sqared can reach 93.81%.
Lead the youth in the right way.
Is there indeed a significant difference between the salaries of men and women, and whether the difference is due to discrimination or whether it is based on another, possibly valid, determining factor.
Break down GDP for three countries (China, UK and US). Compare the differences in growth.
Elderly COVID-19 patients with co-morbidities are in great danger.
Data of last 6 years.
We analyzed data from the 2016 GSS sample data, using it to estimate values of population parameters of interest about US adults.
Capture the evidence of temperature change from data.
As time goes by, the approval rate for Biden changes is going lower. The reason could be his attitude and actions regard Afghanistan. However, such oscillation happened to every U.S. president.
IMDB analytics
A small step towards financial data analytics
IBM HR Analytics
Alchohol consumption analytics
Review the Brexit from a data aspect
Life expectancy has increased a lot since the WWII. However, things are different between areas. Diseases and other issues are becoming more significant to human beings.
Plotting the costs by animal groups
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