dataset retail
dataset retail
table stocks transactions daily_ranked_sales
table tape_transactions code_counts
table scissor_transactions tapes_and_scissors
table tapes_or_scissors filtered_stocks
reftable daily_sales
join stocks inner join transactions
on stocks.Code = transactions.stock_code
table stocks
table stocks
data_source retail ds
sql `online_retail`.`stocks`
column is_tape
sql description like '%TAPE%'
type bool
column code
sql code
type string
column description
sql description
type string
column number_of_rows
sql Count(*)
type int
table transactions
table transactions
data_source retail ds
sql `online_retail`.`transactions`
column tape_cost
sql """case when stocks.is_tape
then invoice_qnty*unit_price else 0 end"""
type float
default_aggregate none
column tx_id
sql tx_id
type int
default_aggregate none
column invoice_num
sql invoice_num
type string
column stock_code
sql stock_code
type string
column invoice_qnty
sql invoice_qnty
type int
column _invoice_date
sql invoice_date
type string
hidden true
column invoice_date
sql cast(_invoice_date as DATE)
type datetime
column unit_price
sql unit_price
type float
format $0.00
column customer_id
sql customer_id
type int
default_aggregate none
column country
sql country
type string
column number_of_rows
sql Count(*)
type int
column amount
sql sum(invoice_qnty*unit_price)
type float
column transaction_amount
sql sum(invoice_qnty*unit_price)
fixed invoice_num
type float
column avg_transaction_amount
sql avg(transaction_amount)
type float
format $0.00
column transaction_amount2
sql sum(invoice_qnty*unit_price)
include invoice_num
type float
column avg_transaction_amount2
sql avg(transaction_amount2)
type float
format $0.00
table tape_transactions
table tape_transactions
sql """SELECT t.invoice_num AS invoice_num,
t.stock_code AS stock_code,
t.unit_price AS unit_price, t.country AS country
FROM `online_retail`.`stocks` AS s
JOIN `online_retail`.`transactions` AS t
ON s.code = t.stock_code
WHERE s.description like '%TAPE%'"""
column invoice_num
sql invoice_num
type string
column stock_code
sql stock_code
type string
column unit_price
sql unit_price
type int
default_aggregate none
table code_counts
table code_counts
sql {stocks}
column code
sql code
type string
column number_of_rows
sql number_of_rows
type int
default_aggregate none
table scissor_transactions
table scissor_transactions
sql """SELECT t.stock_code AS stock_code,
t.unit_price/2 AS unit_price, t.country AS country
FROM `online_retail`.`stocks` AS s
JOIN `online_retail`.`transactions` AS t
ON s.code = t.stock_code
WHERE s.description like '%SCISSOR%'"""
column invoice_num
sql ("unknown")
type string
column stock_code
sql stock_code
type string
column unit_price
sql unit_price
type int
default_aggregate none
table tapes_and_scissors
table tapes_and_scissors
sql {tape_transactions} UNION ALL {scissor_transactions}
column stock_code
sql stock_code
type string
column unit_price
sql unit_price
type float
format $0.00
default_aggregate none
table daily_sales
table daily_sales
sql {transactions invoice_num invoice_date amount alias=transactions}
column invoice_num
sql invoice_num
type string
column invoice_date
sql invoice_date
type datetime
column _amount
sql amount
type float
hidden true
column sale_amount
sql sum(_amount)
type float
format $0.00
column sale_rank
sql RANK() OVER (ORDER BY sale_amount desc)
type int
table daily_ranked_sales
table daily_ranked_sales
sql {daily_sales invoice_num invoice_date sale_amount sale_rank}
column invoice_num
sql invoice_num
type string
column invoice_date
sql invoice_date
type datetime
column sale_amount
sql sale_amount
type float
format $0.00
default_aggregate none
column sale_rank
sql sale_rank
type int
default_aggregate none
table tapes_or_scissors
table tapes_or_scissors
parameter kind
type string
default_value TAPE
allowed_value TAPE
allowed_value SCISSOR
sql """$bipp_if( $bipp_equal("$kind", "TAPE"),
"{tape_transactions}", "{scissor_transactions}" )"""
column stock_code
sql stock_code
type string
column unit_price
sql unit_price
type int
default_aggregate none
table filtered_stocks
table filtered_stocks
data_source retail ds
sql `online_retail`.`stocks`
parameter containing
type string
default_value ""
column description
sql description
type string
column number_of_rows
sql Count(*)
type int
column contains
sql """case when description LIKE '%$containing%' then 'yes'
else 'no' end"""
type string