01.03.2013 Views

Introduction to Data Analysis Handbook - AED Center for Early Care ...

Introduction to Data Analysis Handbook - AED Center for Early Care ...

Introduction to Data Analysis Handbook - AED Center for Early Care ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Visualizing <strong>Data</strong><br />

Visualizing data is <strong>to</strong> literally create and then consider a visual display of data. Technically,<br />

it is not analysis, nor is it a substitute <strong>for</strong> analysis. However, visualizing data can be a<br />

useful starting point prior <strong>to</strong> the analysis of data.<br />

Consider, <strong>for</strong> example, someone who is interested in understanding Migrant and Seasonal<br />

Head Start from a national perspective. Specifically, someone might be interested in the<br />

differences in funded enrollment across all MSHS grantees. Looking at a random list of<br />

funded enrollmment numbers (PiR, 2004) gives us one perspective:<br />

10<br />

Random List of Funded Enrollment<br />

677 377<br />

266 601<br />

2719 830<br />

8623 754<br />

480 391<br />

171 425<br />

6984 470<br />

75 1762<br />

259 274<br />

217 684<br />

2709 70<br />

50 133<br />

402 2216<br />

in random order, it is a bit difficult <strong>to</strong> get a handle on the data. By ranking the values in<br />

order however (notes: this can be done either lowest <strong>to</strong> highest or highest <strong>to</strong> lowest) we<br />

gain a more organized perspective of the data set:<br />

© <strong>AED</strong>/TAC-12 Spring 2006. Permission granted <strong>to</strong> copy <strong>for</strong> non-commerical uses only.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!