Census 2010 Boot Camp For Journalists

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Presentation transcript:

Census 2010 Boot Camp For Journalists PDQ-Explore Census 2010 Boot Camp For Journalists Ann Arbor, Michigan October 28-30, 2009

Ann Arbor, Michigan October 28-30, 2009 Objectives To learn to: Open the PDQ-Explore Graphical Interface Set up and Execute a PDQ-Explore Query Tabulations Summary Statistics Quantiles Manipulate Results Totals Percentages Pivoting Sorting Save and Export Results Ann Arbor, Michigan October 28-30, 2009

Ann Arbor, Michigan October 28-30, 2009 Requirements PC (Not Mac) with Windows NT or later 128 MB RAM or more 100 MB free hard disk space Write access to installation drive USB Port (if using flash drive) Connection to Internet Ann Arbor, Michigan October 28-30, 2009

Ann Arbor, Michigan October 28-30, 2009 Installation Note PDQ-Explore is designed to run as a client on a PC that has Internet access to our PDQ server in Ann Arbor: pdq.psc.isr.umich.edu By default the installation files should be copied to: C:\Program Files\PDQ If write access to C: is not available: PDQ-Explore can be run from the flash drive Changes to the explore.ini file may be necessary Ann Arbor, Michigan October 28-30, 2009

Ann Arbor, Michigan October 28-30, 2009 Starting PDQ-Explore If the PDQ-Explore icon is on the desktop: Double-Click on the PDQ-Explore icon If there is no icon on the desktop: Go to the PDQ-Explore desktop or USB installation folder Double-Click on explore.exe Or alternatively if using the USB Flash Drive: Start, Run, x:\pdq\explore.exe Note: The USB drive letter (x:) is machine dependent Ann Arbor, Michigan October 28-30, 2009

Ann Arbor, Michigan October 28-30, 2009 Getting Started Confirm server: pdq.psc.isr.umich.edu No subscriber name/password is required Enter/Enter/Enter until “Open” window appears Double-Click on “journal” workspace Select and expand “ipacs08” data set Expand “housing” or “person” variable list Browse through variable list Open IPUMS documentation: http://usa.ipums.org/usa Ann Arbor, Michigan October 28-30, 2009

Ann Arbor, Michigan October 28-30, 2009 Set Up Query Select a data set (ipacs08) Right click (or click on the “Query” tab) Click on “Setup New Expert Query” Setup window opens Fill in the blanks (see the following slides and related handouts) Click on the “Results” tab Ann Arbor, Michigan October 28-30, 2009

Filling in the Blanks – Example 1 Query Name: Example 1: Employment Status Query Type: Tabulation Universe/Selection: year=2007 Row: statefip Column: empstat Weight: <default> Ann Arbor, Michigan October 28-30, 2009

Ann Arbor, Michigan October 28-30, 2009

Ann Arbor, Michigan October 28-30, 2009 Execute Example 1 Click on “Results” To get totals by row and column: Click on “Options” “Totals” “Both” To get percentages by row: Click on “Options” “Percent Options” “Percent by Row” To sort in descending order on “Unemployed:” Click on “Unemployed” column heading Ann Arbor, Michigan October 28-30, 2009

Filling in the Blanks – Example 1A Query Name: Example 1A Query Type: Tabulation Universe/Selection: year=2007 Row: statefip Column: empstat:1..2 Weight: <default> Ann Arbor, Michigan October 28-30, 2009

Filling in the Blanks – Example 2 Query Name: Example 2: Sex by State Query Type: Tabulation Universe/Selection: year=2007 Row: statefip Column: sex Weight: <default> Ann Arbor, Michigan October 28-30, 2009

Filling in the Blanks – Example 3 Query Name: Example 3: Poverty Query Type: Summary Stats Universe/Selection: year=2007 Row: metaread Describe Expression: poverty Weight: <default> Ann Arbor, Michigan October 28-30, 2009

Filling in the Blanks – Example 4 Query Name: Example 4: Poverty by State Query Type: Summary Stats Universe/Sel: year=2007 & poverty>0 Row: statefip Describe Exp.: poverty Weight: <default> Ann Arbor, Michigan October 28-30, 2009

Filling in the Blanks – Example 5 Query Name: Example 5: Cohabitation Query Type: Tabulation Universe/Sel: year=2007 & relate=1 Row: sex Describe Exp.: pick(related=1114,sex) Weight: <default> Ann Arbor, Michigan October 28-30, 2009

Filling in the Blanks – Example 6 Query Name: Example 6: Seniors Query Type: Tabulation Universe/Sel: (year<=2000 | year=2007) & relate=1 Row: year Describe Exp.: sum(age<65)=0 Weight: <default> Ann Arbor, Michigan October 28-30, 2009

Filling in the Blanks – Example 7 Query Name: Example 7: Income by Sex Query Type: Quantile Universe/Sel: year=2007 & incwage>0 & incwage<999999 Row: sex Quantile: 10 (incwage+50)/100 Weight: <default> Ann Arbor, Michigan October 28-30, 2009

Ann Arbor, Michigan October 28-30, 2009

Ann Arbor, Michigan October 28-30, 2009 Data Gotchas You need to know your data: Relevance to concerns Variable names Codes Limits, top codes Missing and N/A Codes Sense of reasonable and unreasonable results Ann Arbor, Michigan October 28-30, 2009

Ann Arbor, Michigan October 28-30, 2009 PDQ-Explore Gotchas You need to know what you can ignore Focus on tabulations and summary stats Large tables can be hard to interpret You need to understand the options: Percentages Totals Sorting Saving/Exporting/Printing Setups and Results Ann Arbor, Michigan October 28-30, 2009