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Month: February 2024

Building a Gasoline Price Pipeline with EIA Data

Building a Gasoline Price Pipeline with EIA Data

In the dynamic realm of data science, constructing robust pipelines to collect, analyze, and forecast data is not just a necessity but a fundamental skill. In this guide, we’ll embark on a journey to set up an Extract, Transform, Load (ETL) pipeline utilizing the U.S. Energy Information Administration (EIA) API to gather gasoline price data for exploratory analysis and time-series modeling. The U.S. Energy Information Administration (EIA) serves as a cornerstone in providing impartial energy information critical for informed decision-making….

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Unpacking the Role of American Politicians in the Housing Crisis

Unpacking the Role of American Politicians in the Housing Crisis

The American housing crisis is a complex issue, deeply rooted in policy decisions that span decades. It’s a story of missed opportunities, short-sighted policies, and, at times, a stark lack of political will. This post dives into the ways in which political decisions have contributed to this crisis, backed by data and references that highlight the scale of the failure. First, let’s look at the numbers: According to the National Low Income Housing Coalition, the U.S. has a shortage of…

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Navigating the Economic Currents: The Fed’s Stand on Interest Rates and Its Ripple Effects

Navigating the Economic Currents: The Fed’s Stand on Interest Rates and Its Ripple Effects

In the intricate dance of economic policy and market dynamics, the Federal Reserve’s recent decision to maintain the federal-funds rate steady between 5.25% and 5.50% emerges as a pivotal moment, sending waves through the financial markets and beyond. This decision, articulated by Fed Chairman Jerome Powell, was more than a mere numerical declaration; it was a nuanced signal to the markets, indicative of the Fed’s ongoing commitment to taming inflation and ensuring long-term economic stability, even at the cost of…

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Coding Something Tricky? Try Excel, No Really.

Coding Something Tricky? Try Excel, No Really.

In the realm of data science, where Python and R reign supreme, it might seem counterintuitive to bring Excel into the equation. However, Excel, a tool often associated with traditional business analysis, can serve as a powerful ally in the initial stages of algorithm development. This blog post explores the benefits of using Excel to work out pseudo code before transitioning to more sophisticated programming environments. Excel: A Visual and Interactive Sandbox Excel’s grid layout provides a natural environment for…

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