Preprocessing method for automatic water quality monitoring data
An automatic monitoring and preprocessing technology, which is applied in the direction of electrical digital data processing, special data processing applications, digital data information retrieval, etc., can solve the problems of large amount of data, preprocessing of difficult data analysis methods, high frequency of automatic monitoring data, etc., to achieve The effect of high reliability, ease of subsequent analysis and application
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[0057] 1. Data introduction
[0058] The data set in this example is the water quality online monitoring data from the monitoring point of Taolinkou Reservoir Water Source Station in Qinhuangdao City, Hebei Province from 16:00 on August 24, 2016 to 16:00 on April 19, 2018. The data collection frequency is 4h / time, with a total of 14476 items, including pH value, temperature (Temp), chlorophyll (CHL), and dissolved oxygen (DO), which are four common water quality indicators. The concentration changes of each water quality variable are as follows: Figure 2-5 shown.
[0059] 2. Count the missing variables and the number of values and visualize them
[0060] A complete time series was constructed for the water quality data, and the missing values were marked as "NA". The number of missing values for each water quality variable is shown in Table 1. Use the missingno package in python to visualize missing values, such as Figure 6 As shown, the white part is the missing va...
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