LKML
Fintech analytics
Loan Months
Loan Months model for fintech analytics.
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Blocks
loan_months.view.lkml · 199 lines
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view: loan_months {
sql_table_name: demo_company.sample_service ;;
dimension: id_loan {
hidden: yes
sql: ${TABLE}.id_loan ;;
}
dimension: period_at {
hidden: yes
sql: ${TABLE}.period ;;
}
dimension: loan_age {
label: "Current Loan Age"
type: number
sql: ${TABLE}.loan_age ;;
}
dimension: act_endg_upb {
label: "Current Balance (upb)"
type: number
sql: ${TABLE}.act_endg_upb ;;
}
dimension: new_int_rt {
label: "Current Coupon"
type: number
sql: ${TABLE}.new_int_rt ;;
}
dimension: delq_sts {
label: "Delinquency Status"
sql: ${TABLE}.delq_sts ;;
}
dimension: is_delinquent {
label: "Delinquency Indicator"
type: yesno
sql: ${TABLE}.delq_sts > 0 AND ${TABLE}.delq_sts <= 6 ;;
}
dimension: cd_zero_bal {
sql: ${TABLE}.cd_zero_bal ;;
}
dimension: is_prepaid {
label: "Prepayment Indicator"
type: yesno
sql: ${cd_zero_bal} = 1 ;;
}
dimension: is_credit_event {
type: yesno
hidden: yes
sql: ${cd_zero_bal} IN (2, 3, 4, 8, 97) ;;
}
dimension: is_foreclosure {
type: yesno
hidden: yes
sql: ${cd_zero_bal} = 4 ;;
}
dimension: days_since_first_delinquency {
type: number
hidden: yes
sql: DATEDIFF(
MONTH,
to_date(${orig_svcg_facts.first_reported_delinquency_month}, 'YYYY-MM-DD'),
${TABLE}.period
) * 30 ;;
}
dimension: days_since_first_delinquency_tier {
type: tier
hidden: yes
sql: ${days_since_first_delinquency} ;;
}
dimension: flag_mod {
type: yesno
hidden: yes
sql: ${TABLE}.flag_mod ;;
}
dimension: mths_remng {
type: number
hidden: yes
sql: ${TABLE}.mths_remng ;;
}
dimension: repch_flag {
type: yesno
hidden: yes
sql: ${TABLE}.repch_flag ;;
}
dimension_group: period {
label: "Date"
type: time
timeframes: [year, month]
sql: ${TABLE}.period ;;
}
dimension_group: dt_zero_bal {
type: time
timeframes: [year, month]
sql: trunc(dateadd(day,1,TO_DATE(${TABLE}.dt_zero_bal,'YYYYMM'))) ;;
}
measure: prepaid_count {
type: count_distinct
sql: ${id_loan} ;;
}
measure: percent_prepaid {
label: "Prepayment Pct"
type: number
sql: 100.0 * ${prepaid_count} / NULLIF(${count_distinct_loans},0) ;;
}
measure: delinquent_count {
label: "Delinquency Count"
type: count_distinct
sql: ${id_loan} ;;
}
measure: percent_delinquent {
label: "Delinquency Pct"
type: number
sql: 100.0 * ${delinquent_count}/NULLIF(${count_distinct_loans},0) ;;
}
measure: count_distinct_loans {
label: "Distinct Loans"
type: count_distinct
sql: ${id_loan} ;;
}
measure: total_act_endg_upb {
type: sum
sql: ${act_endg_upb} ;;
}
measure: credit_count {
type: count_distinct
hidden: yes
sql: ${id_loan} ;;
}
measure: foreclosed_count {
type: count_distinct
hidden: yes
sql: ${id_loan} ;;
}
measure: percent_foreclosed {
type: number
hidden: yes
sql: 100.0 * ${foreclosed_count}/NULLIF(${count_distinct_loans},0) ;;
}
measure: modifications_count {
type: count
hidden: yes
sql: ${id_loan} ;;
}
measure: post_credit_event_repurchase_count {
type: count_distinct
hidden: yes
sql: ${id_loan} ;;
}
measure: percent_of_previous_prepaid {
type: percent_of_previous
hidden: yes
sql: ${percent_prepaid} ;;
}
measure: percent_credit_event {
type: number
hidden: yes
sql: 100.0 * ${credit_count} / NULLIF(${count_distinct_loans},0) ;;
}
measure: percent_modified {
type: number
hidden: yes
sql: 100.0 * ${modifications_count} / NULLIF(${count_distinct_loans},0) ;;
}
measure: percent_post_credit_event_repurchase_count {
type: number
hidden: yes
sql: 100.0 * ${post_credit_event_repurchase_count} / NULLIF(${count_distinct_loans},0) ;;
}
}
loan_months.view.lookml · 127 lines
source-preserved
- view: loan_months
sql_table_name: demo_company.sample_service
fields:
- dimension: id_loan
hidden: true
sql: ${TABLE}.id_loan
- dimension: period_at
hidden: true
sql: ${TABLE}.period
- dimension: loan_age
type: number
label: Current Loan Age
sql: ${TABLE}.loan_age
- dimension: act_endg_upb
type: number
label: Current Balance (upb)
sql: ${TABLE}.act_endg_upb
- dimension: new_int_rt
type: number
label: Current Coupon
sql: ${TABLE}.new_int_rt
- dimension: delq_sts
label: Delinquency Status
sql: ${TABLE}.delq_sts
- dimension: is_delinquent
type: yesno
label: Delinquency Indicator
sql: ${TABLE}.delq_sts > 0 AND ${TABLE}.delq_sts <= 6
- dimension: cd_zero_bal
sql: ${TABLE}.cd_zero_bal
- dimension: is_prepaid
type: yesno
label: Prepayment Indicator
sql: ${cd_zero_bal} = 1
- dimension: is_credit_event
type: yesno
hidden: true
sql: ${cd_zero_bal} IN (2, 3, 4, 8, 97)
- dimension: is_foreclosure
type: yesno
hidden: true
sql: ${cd_zero_bal} = 4
- dimension: days_since_first_delinquency
type: number
hidden: true
sql: DATEDIFF(
MONTH,
to_date(${orig_svcg_facts.first_reported_delinquency_month}, 'YYYY-MM-DD'),
${TABLE}.period
) * 30
- dimension: days_since_first_delinquency_tier
type: tier
hidden: true
sql: ${days_since_first_delinquency}
- dimension: flag_mod
type: yesno
hidden: true
sql: ${TABLE}.flag_mod
- dimension: mths_remng
type: number
hidden: true
sql: ${TABLE}.mths_remng
- dimension: repch_flag
type: yesno
hidden: true
sql: ${TABLE}.repch_flag
- dimension_group: period
type: time
timeframes:
- year
- month
sql: ${TABLE}.period
- dimension_group: dt_zero_bal
type: time
timeframes:
- year
- month
sql: trunc(dateadd(day,1,TO_DATE(${TABLE}.dt_zero_bal,'YYYYMM')))
- measure: prepaid_count
type: count_distinct
sql: ${id_loan}
- measure: percent_prepaid
type: number
label: Prepayment Pct
sql: 100.0 * ${prepaid_count} / NULLIF(${count_distinct_loans},0)
- measure: delinquent_count
type: count_distinct
label: Delinquency Count
sql: ${id_loan}
- measure: percent_delinquent
type: number
label: Delinquency Pct
sql: 100.0 * ${delinquent_count}/NULLIF(${count_distinct_loans},0)
- measure: count_distinct_loans
type: count_distinct
label: Distinct Loans
sql: ${id_loan}
- measure: total_act_endg_upb
type: sum
sql: ${act_endg_upb}
- measure: credit_count
type: count_distinct
sql: ${id_loan}
- measure: foreclosed_count
type: count_distinct
sql: ${id_loan}
- measure: percent_foreclosed
type: number
sql: 100.0 * ${foreclosed_count}/NULLIF(${count_distinct_loans},0)
- measure: modifications_count
type: count
sql: ${id_loan}
- measure: post_credit_event_repurchase_count
type: count_distinct
sql: ${id_loan}
- measure: percent_of_previous_prepaid
type: percent_of_previous
sql: ${percent_prepaid}
- measure: percent_credit_event
type: number
sql: 100.0 * ${credit_count} / NULLIF(${count_distinct_loans},0)
- measure: percent_modified
type: number
sql: 100.0 * ${modifications_count} / NULLIF(${count_distinct_loans},0)
- measure: percent_post_credit_event_repurchase_count
type: number
sql: 100.0 * ${post_credit_event_repurchase_count} / NULLIF(${count_distinct_loans},0)
Contents
- loan_months.view.lkml
- loan_months.view.lookml