Low around 35F. Winds NW at 5 to 10 mph. Partly cloudy. High around 50F. A few clouds from time to time. High around 60F. Winds WSW at 10 to 15 mph.
Mostly clear. Low 38F. Sunny along with a few clouds. High 59F. Low 36F. Partly cloudy skies. High 57F. Low around 40F. High 63F. Winds SW at 10 to 15 mph. Low 46F. High 62F. Winds W at 10 to 15 mph. Intervals of clouds and sunshine. High 49F. Winds WNW at 10 to 20 mph. Low 31F. High 48F. Winds WSW at 5 to 10 mph. High 47F. Low 33F. Winds SSW at 5 to 10 mph. Considerable clouds early. Some decrease in clouds later in the day. High 51F. Daily 24 Today. Mostly Cloudy.
Wind SSW 18 mph. UV Index 2 of Sunrise am. Sunset pm. Wind WNW 13 mph. UV Index 0 of Moonset am. Partly Cloudy. Wintry Mix. Wind NW 14 mph. Clear Night. Not Available. Wind WNW 7 mph. Moonset pm. Use the calendar selectors for the start and end points to select a range that you are interested in for your analysis. The left-hand side calendar selects the starting date and the right-hand side calendar selects the ending date.
You may select a month, a few months, an entire year, or more depending upon your needs and account level. When we run the query the default view is the weather calendar. This view provides a simple overview of the result data. It is very useful for comparing data from multiple locations side-by-side. This view shows a single row for each day of the requested range and at the location we selected earlier.
You can now see the various weather metrics that are provided in the output data. These include common values such as temperature, precipitation, and wind as well as less common value such as heat index, cloud cover, and wind gusts.
For more information on the details and how to use our various weather metrics, see our Weather Data Documentation. So, if you only need the weather history for a single location, you can stop reading this tutorial now and begin using your weather data immediately.
However, often you need historical weather data for more than one location. So, we can continue with an additional step to show that working with multiple locations is as easy as working with one. To add a second location, we need to click on the Locations button at the top of the window and then follow the steps from earlier to add an additional location manually. For this exercise, we can add any location that interests us, including international locations such as Paris France.
Then, when we rerun the weather query, we can see that the calendar view now shows the two locations together for comparison. If we gave each location a friendly name earlier, that name will be shown in the calendar view to allow us to easily differentiate them. We could also switch to the grid view to see more details in our data. We can then load this CSV into nearly any type of analysis tool. For example, tools such as Microsoft Excel, many business intelligence packages, and nearly all database systems readily accept CSV data as input.
Since CSV is a very standard data file format you will be able to easily load this same file into nearly any data analysis tool. On the web interface there is a mode to show Raw Data which shows your data in a more technical grid format. This is just a different view of the data than what is seen above.
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