Climate analysis and data exploration from climate database
1. Precipitation Analysis
- Design a query to retrieve the last 12 months of precipitation data.
- Select only the date and prcp values.
- Load the query results into a Pandas DataFrame and set the index to the date column.
- Sort the DataFrame values by date.
- Plot the results using the DataFrame plot method.
- Design a query to calculate the total number of stations.
- Design a query to find the most active stations.
- List the stations and observation counts in descending order.
- Which station has the highest number of observations?
- Design a query to retrieve the last 12 months of temperature observation data (tobs).
- Filter by the station with the highest number of observations.
3. Temperature Analysis of my Trip : 12-27-2015 to 01-10-2016
- Use the calc_temps function to calculate the min, avg, and max temperatures for your trip
- Plot the min, avg, and max temperature from your previous query as a bar chart.
4. Rainfall per Weather Station
- Design a query to calculate the total amount of precipitaion for the most popular station