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Data analysis

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

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Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing, industrial production, personal consumption and savings. All analysis is based on data provided by FRED.

  • Updated Sep 17, 2024
  • Jupyter Notebook

Jupyter notebooks designed for the analysis of sound waves, audio, and music. The notebooks aim to facilitate research and development in Digital Signal Processing (DSP), Music Information Retrieval (MIR), and other sound-related fields. These tools are suitable for AI experts, data scientists, and engineers with a focus on audio signal processing.

  • Updated Sep 15, 2024
  • Jupyter Notebook

Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.

  • Updated Sep 14, 2024
  • Jupyter Notebook
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