SILS iSchool

24 Oct 2018

Value Added | daily

Class Schedule

Basics | sessions 01-05

22 AUG | intro
27 AUG | clients
29 AUG | servers
05 Sep | networks
10 Sep | basics lab

Web Development | sessions 06-11

12 Sep | structural layer
17 Sep | presentational layer
19 Sep | working with layers
24 Sep | behavior layer
26 Sep | images & design
01 Oct | website lab

Document Markup | sessions 12-14

03 Oct | object layers
08 Oct | graphics
10 Oct | document markup lab

Spreadsheets | sessions 15-19

15 Oct | spreadsheets
17 Oct | formulas & functions
22 Oct | thoughts about data display
 18 Oct  | Fall Break 

24 Oct | database tools | database practice exercises | live database practice | next session

29 Oct | spreadsheets lab

Relational Database | sessions 20-26

31 Oct | relational databases
05 Nov | tables
07 Nov | relationships
12 Nov | input & output
14 Nov | SQL
19 Nov | complex queries
26 Nov | databases lab
 21 Nov | Thanksgiving 

Presentation | sessions 27-30

28 Nov | presentation design
03 Dec | presentation delivery
05 Dec | presentation lab
12 Dec | 0800-1100 | final in class presentation





The Department of Defense reports casualty data using downloadable Excel spreadsheets.

Practice with the some current data

The Department of Defense reports casualty data in spreadsheets form.

Download a spreadsheet and try out your database tools with it.

You might try sorting the data first by service, then by component, then occupation code prefix, and then by occupation code.

You might also try different filters

  • since the header row is not in the first row, be certain to select the actual header row so the filter tool knows where to apply the filter
  • do a simple filter by state
  • do a combined filter by service and then by state
  • do a custom filter to see how many of the names of are people between 18 and 22 years old
  • do a custom filter to see Hispanic names
    • this isn't a precise filter, but you might do a Boolean "or" filter looking for names that end in either "A" or "Z"
    • on second thought, that won't work? Can you see why not?
      • the data isn't arrayed so that you can easily filter on the last letter of the name.
      • were the data arrayed so that the last name was a field unto itself, one could apply this filter
      • or one can filter on Column T

so create some custom filters of your own, looking for record fields that respond to an "or" or an "and" combination of values

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