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Geographic Coverage in Data – Why National vs. Regional vs. Local Data Can Lead to Very Different Conclusions

One of the most common mistakes in data analysis is assuming that geographic boundaries remain the same over time. This can lead to misinterpretations of trends, especially when using Metropolitan Statistical Area (MSA) data or Census tract data.

Why Release and Revision Schedules Matter in Data Analysis

When analyzing data, there's often a trade-off between timeliness and detail. Understanding this trade-off is key to choosing the right dataset for your needs.

Making Sense of Data: The Questions You Should Always Ask

We’ve all heard the old journalism adage: who, what, where, why, and how? But did you know that a similar framework applies when working with data? Before using any dataset, it’s essential to ask the right questions to ensure accuracy, relevance, and proper interpretation.