Query form for table UBV_MEAS


You can use this form to generate a query against the data in this table. In the entry box for any field you can enter a Boolean expression indicating the value or values you require that field to match. For example, if you put = 45 in a box, then the corresponding field must equal 45 for a record to be selected. If you need help with the formulation of these expressions, try the Beginner's Guide to SQL Selection Expressions. You can also request basic stat functions min, max, sum, avg on any numeric column; however, obviously if you choose this option, you cannot print regular column values as well.

Selecting fields to print: By default the first three fields will be printed. Just deselect the Print button for fields you do not want in your output, or select it for those you wish to add.

Performance: Column names appearing in italics as well as bold, like this, indicate that this column is indexed in the database server for faster searching. If you can use criteria for these columns to narrow your search, your query will run much faster!

You can optionally generate a colour PostScript plot, plotting up to 10 Y values against 1 X value by using the X and Y select buttons. If you plot a column that you have not asked to print, that column will automatically be printed. If you choose an X that is not monotonically increasing in some sensible way, like time series, you probably want a scatterplot (correlation) rather than a line plot. You can choose the the plot type using the buttons below. If you want to know what the fields mean, check the data dictionary information for this table. You may also want to use the browser form for this table to see one record at a time.


Line Plot
Scatter Plot
FieldPrint?pltXPltYFuncMatch Value
sybid
ID
Comp
Var_Flag
NumPubs
V
V_Stdv
V_Obs_Flag
V_Obs
B_V
B_V_Stdv
B_V_Obs_Flag
B_V_Obs
U_B
U_B_Stdv
U_B_Obs_Flag
U_B_Obs
You may alternatively, if you are familiar with SQL expressions, compose your own selection expression (what would come after the where in the select statement):

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