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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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Unpopular Opinion: Minimal Viable Products are a Waste of Time

Unpopular Opinion: Minimal Viable Products are a Waste of Time

In the tech industry, the concept of the Minimal Viable Product (MVP) has become a cornerstone of product development strategies. It’s seen as a fast track to innovation, allowing teams to quickly bring a product to market to test its viability. However, this approach, while popular, is not without its pitfalls. There are compelling arguments to suggest that the rush to create MVPs can be counterproductive, leading to wasted time, resources, and ultimately, subpar products. Lets explore the hidden costs…

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How to Choose Between pivot_longer and gather in R

How to Choose Between pivot_longer and gather in R

When it comes to reshaping data in R, there are often multiple ways to achieve the same result. One common task in data manipulation is converting wide data into long data, and two popular functions for this purpose are pivot_longer and gather. Both functions serve the same fundamental purpose, but they belong to different versions of the tidyr package in R. In this article, we’ll explore these two functions and discuss reasons for choosing one over the other. Understanding the…

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Navigating the Risks: A Deep Dive into Equestrian Injury Statistics

Navigating the Risks: A Deep Dive into Equestrian Injury Statistics

Equestrian activities offer a unique blend of exhilaration and challenge. However, like any sport, they come with inherent risks. This article delves into the world of equestrian injuries, exploring how these risks vary with age and how they compare to other sports. Understanding the Injury Rate A key study by Christey et al. (1994) reveals that for every 1,667 hours of riding, there’s an average of one injury, or 0.6 injuries per 1,000 hours, primarily among children and young adults….

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The Importance of the Iowa Caucus in the 2024 Presidential Election

The Importance of the Iowa Caucus in the 2024 Presidential Election

Hey folks! Today, we’re steering our conversation towards the political arena, specifically focusing on the 2024 presidential election. I want to chat about why the Iowa Caucus is a pivotal event that shapes the race. But before we get into that, let’s answer the question: what exactly is the Iowa Caucus? What is the Iowa Caucus? The Iowa Caucus is more than just a voting event. It’s a gathering where registered voters in Iowa discuss candidates and eventually pick delegates…

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R Vs Python: The Ultimate Showdown

R Vs Python: The Ultimate Showdown

When it comes to Data Analysis, both R and Python have become staples in the data science toolbox. But which one should you reach for when you’re about to dive into your next dataset? Let’s break it down. R: The OG of Data Analysis Pros: Cons: Python: The Jack of All Trades Pros: Cons: The Showdown: EDA Visualizations R’s ggplot2 is arguably more intuitive and offers a lot of customization. Python’s matplotlib and seaborn are powerful but require more effort…

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How is Patient Segmentation Changing in 2023?

How is Patient Segmentation Changing in 2023?

Patient segmentation divides populations into distinct groups—each with specific needs, characteristics, or behaviors. Doing so allows care delivery and policies to be tailored for each group. The idea of patient segmentation is not new, for example, the cancer model segments care from the general population. However, combining demographics, care patterns, and patient status, we can find new opportunities to tailor care for groups of individuals. Doing so drives engagement because it informs providers how to better understand their patients ….

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