Software to extract statistics (per month, per year) from a time series

In summary, there are many options available for analyzing and visualizing rain time series data, so it's best to research and choose the one that best fits your needs and budget.
  • #1
bilgis
1
0
Hi.

I work with rain (precipitation) time series, and would like to extract time statistics:
- precipitations per month
- precipitations per year
- precipitations per month and year
- precipitations per hour
- precipitations per month and hour
- mean precipitation, deviation, ...

I can create my own program to do it, but wonder if there is an already-made software to carry out these tasks. It would be great if it could create graphics as well.

Any tip is appreciated. Thank you very much in advance.
 
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  • #2
There are several software programs available that allow you to analyze and visualize rain time series data. One of the most popular and comprehensive programs is MATLAB, which can be used to calculate mean precipitation, deviation, and other statistics. In addition, it also provides a variety of graphical tools for displaying your data, such as bar graphs, line graphs, scatter plots, and more. If you're looking for something more user-friendly and cost-effective, there are also many other programs available, such as Microsoft Excel, Tableau, and QGIS. These programs provide basic statistical analysis and visualization tools, but may not have as many features as MATLAB.
 

1. How does the software extract statistics from a time series?

The software uses algorithms and mathematical methods, such as moving averages and regression analysis, to analyze the data in the time series and extract relevant statistics.

2. What types of statistics can the software extract?

The software can extract various statistics such as mean, median, mode, standard deviation, and trend analysis from the time series data.

3. Can the software extract statistics for specific time periods, such as per month or per year?

Yes, the software has the capability to extract statistics for specific time periods, such as per month or per year, based on the user's input.

4. Is the software user-friendly for non-technical users?

Yes, the software is designed to be user-friendly and can be used by non-technical users with minimal training. It has a simple interface and provides easy-to-understand outputs.

5. Can the software handle large time series data sets?

Yes, the software is designed to handle large time series data sets efficiently. It has the capability to process and extract statistics from large amounts of data in a timely manner.

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