Comparison of the Federal Reserve’s Rate Cuts and Gold Prices Over the Last 30 Years

Comparison of the Federal Reserve's Rate Cuts and Gold Prices Over the Last 30 Years

This week, with a series of economic data released in the U.S., the non-farm payroll data has been significantly revised downwards, and discussions about economic recession have become increasingly prominent. The CME FedWatch tool shows that for the Federal Reserve’s meeting on September 18, 2025, the probability of a 25 basis point rate cut has … Read more

Application of Python Data Analysis Techniques in Government Investment Auditing

Application of Python Data Analysis Techniques in Government Investment Auditing

Author: Wu Qiong, Lu Jing In government investment auditing, the review of the bidding process for construction projects is a key focus. The traditional auditing method involves manually comparing unstructured bidding documents to identify clues of collusion and bid-rigging, which not only consumes a lot of manpower and time but also results in subjective comparisons … Read more

Learning Python (Part 2) – Basic Syntax

Learning Python (Part 2) - Basic Syntax

As a data analyst, have you encountered these scenarios: You receive a messy dataset and want to quickly extract key information but get stuck on string processing; while cleaning data with pandas, you cause feature extraction chaos due to list slicing errors; when writing analysis scripts, you mess up category mapping because you’re not familiar … Read more

A Stable Arctic Amplification Ratio in Long-Term Transient Simulation Over the Last 21,000 Years

A Stable Arctic Amplification Ratio in Long-Term Transient Simulation Over the Last 21,000 Years

Citation Information:Yan, Y., Wen, X., Mei, J. et al. A stable Arctic amplification ratio in long-term transient simulation over the last 21,000 years. npj Clim Atmos Sci 8, 321 (2025). https://doi.org/10.1038/s41612-025-01212-8 Main Content: The paper investigates the changes in the Arctic Amplification (AA) phenomenon over the past 21,000 years and explores the underlying physical mechanisms. … Read more

DuckDB: An Embedded In-Memory Database

DuckDB: An Embedded In-Memory Database

Introduction Traditional relational databases, such as MySQL and PostgreSQL, often face performance bottlenecks when handling large-scale data. Data warehouses require complex deployment and maintenance. A “newcomer” in the database field—DuckDB—is changing the way we analyze data with its unique charm. What is DuckDB? In simple terms, DuckDB is anembedded, in-process, OLAP database. Embedded: This means … Read more

Summary of Common MATLAB Functions and Commands

Summary of Common MATLAB Functions and Commands

Table of Contents 1. General Commands 2. Operators 3. Programming Language Constructs 4. Basic Matrix Functions and Operations 5. Basic Mathematical Functions 6. Coordinate Transformations, Vector Operations, and Other Special Functions 7. Matrix Functions and Numerical Linear Algebra 8. Data Analysis 9. Polynomials, Nonlinear Equations, and Ordinary Differential Equations 10. Plotting Functions 11. File Operations … Read more

Data-Driven: How to Empower Equipment Management with Data?

Data-Driven: How to Empower Equipment Management with Data?

Introduction by Qijin Fang From now on, let data speak. Data-driven management is not just for large enterprises. It starts with a well-designed maintenance request form, grows through a simple Excel sort, and matures as teams develop the habit of “making decisions based on data”. This is the concluding piece in the equipment management series. … Read more

Advanced Python Regression Prediction – Log Transformation of Target Variables

Advanced Python Regression Prediction - Log Transformation of Target Variables

1. Why choose log transformation? When we perform regression modeling,the target variable (the metric being predicted, such as house price SalePrice) does not conform to a normal distribution, we usually opt for log transformation, mainly for the following reasons: 1. Make the distribution closer to normal distribution Many real-world values (house prices, income, sales, population … Read more

Python Statistics on Social Science Project Counts

Python Statistics on Social Science Project Counts

Author: Li Shengsheng (A Little Ant in Management) Email:[email protected] Data Source: National Office for Philosophy and Social Science Work Using Python coding for statistics, due to some units not being included in the following codes, the counts for youth projects and general projects may be slightly underestimated. I have not verified this, so I hope … Read more

Three-Dimensional Fluorescence – Parallel Factor Analysis – Quick Processing with MATLAB

Three-Dimensional Fluorescence - Parallel Factor Analysis - Quick Processing with MATLAB

1. Basic Principles Three-dimensional fluorescence spectroscopy (EEM) constructs a three-dimensional data matrix (sample×excitation wavelength×emission wavelength) by scanning the fluorescence intensity of the sample at different excitation wavelengths (Ex) and emission wavelengths (Em). Parallel factor analysis (PARAFAC) is a mathematical algorithm based on trilinear decomposition theory, which uses alternating least squares (ALS) to decompose the complex … Read more