diff --git a/README.md b/README.md index 7592601..e2f22fb 100644 --- a/README.md +++ b/README.md @@ -74,7 +74,7 @@ The Queen Anne Curiosity Shop project questions in Chapter 3 asked you to create - VENDOR (VendorID, Vendor, Phone) Figure 4.1: Guidelines for Assessing Table Structure -![alt text](./images/Table_Structure-Guidelines.png "Table 2") +![alt text](./images/Table_Structure-Guidelines.png "Table Structure Guidelines") ### Questions A.) Follow the procedure shown in Figure 4-1 to assess these data. @@ -98,6 +98,18 @@ F.) Do these data have a null (missing) value data problem? If so, how will you G.) Do these data have the general-purpose remarks problem? If so, how will you deal with it? ## Questions A and B in Chapter 5 +### Data +Consider the traffic citation shown below: + +Figure 5.61: Writer's Patrol Correction Notice + +![alt text](./images/WP-Traffic-Citation.png "Traffic Citation") + +### Questions +A.) Create the entities for an E-R data model based on the traffic citation form. Use five entities, and use the data items on the form to specify identifiers and attributes for those entities. In which of these entities should you place the unique Notice Number that is the unique identifier for this notice? + +B.) Complete the E-R data model by specifying relationships among the entities. Use IE Crow’s Foot E-R symbols as shown in Figure 5-8. Name the relationships, and specify the relationship types and cardinalities. Justify the decisions you make regarding minimum and maximum cardinalities, indicating which cardinalities can be inferred from data on the form and which need to be checked out with systems users. + ## Questions A-E in Chapter 5 diff --git a/images/WP-Traffic-Citation.png b/images/WP-Traffic-Citation.png new file mode 100644 index 0000000..f3d131d Binary files /dev/null and b/images/WP-Traffic-Citation.png differ