Python — Extract Day Level Weather Data

If you are working as data scientist where you have to build some models to get the sales forecast then Weather data becomes a very important component to get the weather variables which plays as a root variables for your data model in your machine learning algorithms. You should now have a good understanding of how to scrape web pages and extract data.

Usage Of Weather Data — Consider a corporation that wishes to use weather data to improve the accuracy of its sales prediction. This may begin with a data scientist working in a data lab. The data scientist may collect weather data in the lab to improve the forecasting model. After confirming that weather data would impact his model, a data steward might check it for quality, compliance, and copyrights before an IT professional automates data integration, so that weather data flows near real time in the corporate data lake and is documented in the data catalogue so that business analysts and business users can consume it.

It is critical to remember that online scraping should be done in accordance with the website’s terms of service and legal issues. Before scraping data from a website, make sure you read and follow its policies.

You can take a more segregated strategy if IT brings the data in utilising data integration technologies. The data scientists at their data lab would then utilise a data science platform, while the CDO’s office would employ a data governance framework. But, given a fragmented mentality, how could they function as a…