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Category: Data Science

Words of Power: How Trump and Harris Use Language to Shape Their Leadership

Words of Power: How Trump and Harris Use Language to Shape Their Leadership

Words carry immense power. Emphasis, tone, and vernacular all influence how we interpret a message. Simple phrases, often meant to be forgotten, can become embedded in our language forever. Politicians, more than most, understand the weight of words. While norms have been challenged over the last decade, entire careers can still be derailed by a single misstep in phrasing. Personally, I’ve always been captivated by natural language processing (NLP) for this very reason. The idea that we can extract deeper…

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Forecasting Gas Prices Using R

Forecasting Gas Prices Using R

Introduction Gas prices impact our daily lives significantly. Whether it’s driving to work, transporting goods, or planning a road trip, the cost of gas can affect our decisions and budgets. With this in mind, I set out to create a simple, yet thorough model that could predict future gas prices. In this blog post, we’ll take you through the project, explaining the process in simple terms and sharing our findings. The primary engine behind this project is Fable, an easy-to-use…

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Data Science in 2024

Data Science in 2024

Trends, Innovations, and Ethical Considerations As we progress through 2024, the field of data science continues to evolve at a rapid pace. From groundbreaking innovations to significant investments and ethical challenges, the landscape is both dynamic and complex. In this post, we’ll explore some of the most impactful developments in data science, providing insights and links to deeper resources. AI Startups and Investments One of the most notable trends in 2024 is the surge in investments in AI startups. A…

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The Hidden Currency of Respect

The Hidden Currency of Respect

In today’s corporate world, research shows that respect and value in the workplace are more influential in employee retention than compensation alone. Gartner’s studies highlight that employees, especially frontline workers, prioritize acknowledgment, growth opportunities, and a sense of being valued over higher pay. The American Psychological Association (APA) confirms that valued employees are more engaged and motivated, leading to higher retention rates.

Real-world examples from tech, healthcare, and retail sectors demonstrate that companies focusing on respect and value see lower turnover rates. Employers can foster this by implementing recognition programs, offering professional development, promoting inclusivity, soliciting feedback, and supporting work-life balance. Ultimately, a culture of respect and value helps retain top talent and creates a thriving workplace.

Riding the Waves: Ups and Downs of Gas Prices

Riding the Waves: Ups and Downs of Gas Prices

This April gas price report is based on data through March 2024. All insights provided are taken from the Gas Price Tracker which is updated monthly. Direction in Prices So Far Gas prices have generally trended downward since reaching a peak in June 2022. Although there were increases in September 2023 and March 2024, longer-term trends indicate a declining price index. While prices are higher than they’ve been in the past few years, current rates are slightly lower than the…

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Lazy Recruiting: Coding Tests for Analyst and Data Science Positions

Lazy Recruiting: Coding Tests for Analyst and Data Science Positions

In the competitive landscape of data analytics and science, the hiring process has become a battlefield not just for candidates, but also for companies vying for top talent. Amidst this, coding tests have emerged as a common hurdle. I argue that these tests are not just ineffective, but also a lazy approach to recruitment that could be doing more harm than good. When a interview process boils candidates to a “top n”, you’ll soon get candidates that just prepare to…

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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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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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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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Are you Correlating Correctly?

Are you Correlating Correctly?

Well…are you? In a conversation between a few colleagues the concept of a correlation came up. I made a comment that we couldn’t be certain that the correlation formula was being applied correctly by our software, and therefore, we shouldn’t use it (typical black box). To my surprise, my colleague asked me “what’s the difference?” not knowing that using certain correlation formulas for certain data sets is inappropriate and inaccurate. It prompted me to write this article about the four…

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