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Assignment 2
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将图像舒展开
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Use Postgre SQL in RStudio
Building database in computer using csv files then analyzing data using SQL in RStudio
Proposal for Semester Project
Patterns & Trends in Environmental Data / Computational Movement Analysis Geo 880
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Bellabeat Case-Study
How Can a Wellness Technology Company Play It Smart?
Update on sdm
I update the sdm code on https://www.biogeoinformatics.org. I felt this was overdue since it was written in 2016 by Babak Naimi and many changes have been made to the package since then making it difficult for new users to rely on the tutorial.
Stock-Market-Trends-Analysis
This analysis explores historical stock price trends using key technical indicators to assess market behavior. It includes: Daily Returns & Volatility: Understanding stock price fluctuations. Moving Averages (50-day & 200-day): Identifying market trends. Bollinger Bands: Detecting overbought and oversold conditions. Correlation Heatmap: Analyzing relationships between stock metrics. Key Insights: ✔ Moving averages help confirm trend direction. ✔ Bollinger Bands indicate potential price reversals. ✔ Correlation analysis aids in portfolio diversification. This structured approach provides valuable insights for traders and investors to enhance decision-making.
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