Summary
My bachelor work deals with the processing of data from the model locality Halenkovice through analysis of time series. Data are processed from the crude state, this is how they were measured with device and sent to the server, possibly as downloaded straight from the device. At first I had to clean the data from these station from random blackouts of measurement. This was done through my own programme, which I wrote in the programming language Microsoft Visual Basic 6.0. Longterm blackouts staid as null. This data was for the analysis of time series still inappropriate, because a fixed dataset had values from 10 000 to 40 000 records. That´s why I had to use the sliding averages and smooth data on hourly, daily and monthly averages. For the analysis of time series were the most suitable daily averages, beacause they had been cleaned from day period and dataset had contained acceptable 365 values. Monthly average served for further comparison with reference data from the Atlas podnebí Česka and the amateur meteostation in the village named Košíky.