Section 8.  Working with Data Files on the PC 
Semicolons are used in Time Series functions to separate the elements or 
expressions from the count which determines the interval.  SmplMax and 
SmplMin require two elements separated by a semicolon.  The first is checked 
for a maximum or minimum, while the second is sampled on the maximum or 
minimum. 
The following set of weather data from Mt.  Logan in northern Utah gives a 
total of seven elements each hour.  This Field Formatted output, with title and 
column headers, was generated by Split.  These data are used in the following 
examples of Time Series functions. 
Mt.  Logan Weather Data 
 
 
Day 
 
 
Time 
 
Airtemp 
deg F 
 
 
RH 
 
Mean Wind 
Speed mph 
Mean 
Wind 
Direction 
 
Std Dev of 
Direction 
178 100 58.56 17.42 5.855 338.3 6.562 
178 200 57.48 17.65 8.27  344.8 7.51 
178 300 56.85 17.76 7.75  330.8 5.065 
178 400 56.55 18.89 7.6  319.7 10.93 
178 500 56.57 19.6 10.41 307.3 4.23 
178 600 55.33 23.32 8.99  317.7 6.258 
178 700 55.95 24.79 9.52  322.3 4.609 
178 800 58.12 23.98 6.588 315.6 9.43 
178 900 59.79 23.46 5.458 312 15.32 
178 1000 61.09 24.12 4.622 299.3 18.3 
178 1100 61.34 25.03 5.926 303 17.26 
178 1200 60.61 27.46 6.815 309.7 18.71 
178 1300 61.01 25.44 8.35  310.2 18.37 
178 1400 60.93 25.48 10.92 317.5 12.68 
178 1500 62.3 23.79 8.43  310.6 19.21 
178 1600 63.75 24.31 8.88  321.4 15.22 
178 1700 66.15 22.45 7.97  341 17.77 
178 1800 67.33 23.06 6.758 344.1 20.74 
178 1900 66.59 24.75 7.08  341.8 16.09 
178 2000 64.52 26.03 8.76  337.2 14.91 
178 
2100 59.84 27.45 11.81 305.4 12.36 
178 2200 56.19 35.46 15.62 316.7 19.01 
178 2300 55.48 38.8 17.12 338.7 11.41 
179 0  55.22 37.13 11.86 351.6 8.22 
 
Avg(x;n)  returns the average of element x over a full data set or every 
n
th
 value. 
Examples: 
  Avg(3)  =  59.898 (average daily temp) 
  Avg(3;4) =  57.36 (average 4 hour temp) 
  56.493 (average 4 hour temp) 
  60.708 (average 4 hour temp) 
  61.998 (average 4 hour temp) 
  66.148 (average 4 hour temp) 
  56.683 (average 4 hour temp) 
Blanks(x;n)  returns the number of blanks or bad data in element x over a 
full data set or every nth value.  Refer to TABLE 8-9 for 
definition of blank or bad data.  Example: 
  Blanks(3) = 0 (no holes in data set). 
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