How to use Python and Pandas to join historical weather data to road accident data

I am currently investigating the relationship between weather conditions and accidents by using a dataset of road accidents in Fairfax County, Virginia obtained from the Virginia Department of Motor Vehicles. The first step to perform the analysis is to combine the accident data with the historical weather conditions. In this article, we will discuss how …

Weather API Changelog

This article describes the major features added, and any change made, to the Timeline Weather API. None of the changes in this article break backwards compatibility. For full details of the Timeline Weather API, please see the API documentation. 2024 – Q1 Expanded historical data for the Advanced solar elements and wind elements back to …

How to download the weather forecast for all US ZIP Codes

US ZIP Codes act like postal codes in other countries – they provide an easy and structured way to locate an address within a city and state. They are easy to remember and provide a reasonably precise geographical location. This makes them valuable for businesses and other organizations that want to collect information about their …

Adding and Removing Elements from your Weather Query

The ability to add or remove elements from weather data or columns is incredibly useful in various scenarios. By using this capability, researchers, meteorologists, and data analysts can streamline their data sets for optimum performance and focus solely on the relevant information for their specific research or analysis. Removing unnecessary weather elements that do not …

Timeline Weather API

The Timeline Weather API is the simplest and most powerful way to retrieve weather data. You can request data over any time window including windows that span the past, present, and future. The API will take care of the combining historical observations, current 15-day forecasts, and statistical weather forecasts to create a single, consolidated dataset …