{"id":5204,"date":"2016-05-07T08:41:02","date_gmt":"2016-05-07T13:41:02","guid":{"rendered":"http:\/\/www.ssc.wisc.edu\/~jfrees\/?page_id=5204"},"modified":"2016-12-03T09:11:46","modified_gmt":"2016-12-03T15:11:46","slug":"test-tablepress","status":"publish","type":"page","link":"https:\/\/users.ssc.wisc.edu\/~ewfrees\/testing-wordpress-features\/test-tablepress\/","title":{"rendered":"Test TablePress"},"content":{"rendered":"Table 1.1. Variable Types<\/span>\n\n\n\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Variable Type<\/b><\/td>Example<\/b><\/td>\n<\/tr>\n
Qualitative<\/td><\/td>\n<\/tr>\n
Binary<\/td>Sex<\/td>\n<\/tr>\n
Categorical (Unordered, Nominal) <\/td> Territory (e.g., state\/province) in which an insured resides<\/td>\n<\/tr>\n
Ordered Category (Ordinal)<\/td>Claimant satisfaction (five point scale ranging from 1=dissatisfied to 5 =satisfied)<\/td>\n<\/tr>\n
Quantitative<\/td><\/td>\n<\/tr>\n
Continuous<\/td> Policyholder's age, weight, income<\/td>\n<\/tr>\n
Discrete<\/td>Amount of deductible<\/td>\n<\/tr>\n
Count<\/td>Number of insurance claims<\/td>\n<\/tr>\n
Combinations of Discrete and Continuous<\/td> Policy losses, mixture of 0's (for no loss) and positive claim amount<\/td>\n<\/tr>\n
Interval Variable<\/td> Driver Age: 16-24 (young), 25-54 (intermediate), 55 and over (senior)<\/td>\n<\/tr>\n
Circular Data<\/td>Time of day measures of customer arrival \\hline<\/td>\n<\/tr>\n
Multivariate Variable<\/td><\/td>\n<\/tr>\n
High Dimensional Data<\/td>Characteristics of a firm purchasing worker's compensation insurance (location of plants, industry, number of employees, and so on)<\/td>\n<\/tr>\n
Spatial Data<\/td>Longitude\/latitude of the location an insurance hailstorm claim<\/td>\n<\/tr>\n
Missing Data<\/td>Policyholder's age (continuous\/interval) and ``-99'' for ``not reported,'' that is, missing<\/td>\n<\/tr>\n
Censored and Truncated Data<\/td>Amount of insurance claims in excess of a deductible<\/td>\n<\/tr>\n
Aggregate Claims<\/td>Losses recorded for each claim in a motor vehicle policy.<\/td>\n<\/tr>\n
Stochastic Process Realizations<\/td>The time and amount of each occurrence of an insured loss<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n

Here is a try at another table<\/p>\nTable 1.3. 2010 Average Severity Distribution<\/span>\n\n\n\n\n\t\n\t
Minimum<\/td>First Quartile<\/td>Median<\/td>Mean<\/td>Third Quartile<\/td>Maximum<\/td>\n<\/tr>\n
167<\/td>2,226<\/td>4,951<\/td>56,330<\/td>11,900<\/td>12,920,000<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n","protected":false},"excerpt":{"rendered":"

Here is a try at another table<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1372,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"jetpack_post_was_ever_published":false},"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/P8cLPd-1lW","acf":[],"_links":{"self":[{"href":"https:\/\/users.ssc.wisc.edu\/~ewfrees\/wp-json\/wp\/v2\/pages\/5204"}],"collection":[{"href":"https:\/\/users.ssc.wisc.edu\/~ewfrees\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/users.ssc.wisc.edu\/~ewfrees\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/users.ssc.wisc.edu\/~ewfrees\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/users.ssc.wisc.edu\/~ewfrees\/wp-json\/wp\/v2\/comments?post=5204"}],"version-history":[{"count":14,"href":"https:\/\/users.ssc.wisc.edu\/~ewfrees\/wp-json\/wp\/v2\/pages\/5204\/revisions"}],"predecessor-version":[{"id":5223,"href":"https:\/\/users.ssc.wisc.edu\/~ewfrees\/wp-json\/wp\/v2\/pages\/5204\/revisions\/5223"}],"up":[{"embeddable":true,"href":"https:\/\/users.ssc.wisc.edu\/~ewfrees\/wp-json\/wp\/v2\/pages\/1372"}],"wp:attachment":[{"href":"https:\/\/users.ssc.wisc.edu\/~ewfrees\/wp-json\/wp\/v2\/media?parent=5204"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}