Monthly indices of the retailing sales volume through the comercial units, 2005-2010
Tables
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Dim Indices, Monthly Indices Of The Retailing Sales Volume Through The Comercial Units 2005 2010TSV
Dimension Indices (Indicatori)
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Dim Months, Monthly Indices Of The Retailing Sales Volume Through The Comercial Units 2005 2010TSV
Dimension Months (Luni)
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Dim Years, Monthly Indices Of The Retailing Sales Volume Through The Comercial Units 2005 2010TSV
Dimension Years (Ani)
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Fact, Monthly Indices Of The Retailing Sales Volume Through The Comercial Units 2005 2010TSV
Monthly indices of the retailing sales volume through the comercial units by Indices, Years and Months
Column Descriptions
Fact, Monthly Indices Of The Retailing Sales Volume Through The Comercial Units 2005 2010
Column | Type | Comment |
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indices | int | Datasource did not contain a description for Indices. Column indices has 144 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 0 and maximum value is 1. |
years | int | Datasource did not contain a description for Years. Column years has 144 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2005 and maximum value is 2010. |
months | int | Datasource did not contain a description for Months. Column months has 144 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 0 and maximum value is 11. |
monthly_indices_of_the_retailing_sales_volume_through_the_comercial_units | int | Datasource did not contain a description for Monthly_indices_of_the_retailing_sales_volume_through_the_comercial_units. Column monthly_indices_of_the_retailing_sales_volume_through_the_comercial_units has 144 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 65 and maximum value is 123. |
orig_extractdate | string | The date when the data was originally fetched from the source. |
Dim Indices, Monthly Indices Of The Retailing Sales Volume Through The Comercial Units 2005 2010
Column | Type | Comment |
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code | string | The code for the dimension value. Column code has 2 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is 0 and maximum string is 1. |
label | string | The label for the dimension value. Column label has 2 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. First 25 characters of minimum string: In percent compared to co... and first 25 characters of maximum string: In percent compared to pr... |
orig_extractdate | string | The date when the data was originally fetched from the source. |
Dim Years, Monthly Indices Of The Retailing Sales Volume Through The Comercial Units 2005 2010
Column | Type | Comment |
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code | int | The code for the dimension value. Column code has 6 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2005 and maximum value is 2010. |
label | int | The label for the dimension value. Column label has 6 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2005 and maximum value is 2010. |
orig_extractdate | string | The date when the data was originally fetched from the source. |
Dim Months, Monthly Indices Of The Retailing Sales Volume Through The Comercial Units 2005 2010
Column | Type | Comment |
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code | string | The code for the dimension value. Column code has 12 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is 0 and maximum string is 11. |
label | string | The label for the dimension value. Column label has 12 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is April and maximum string is December. |
orig_extractdate | string | The date when the data was originally fetched from the source. |
Additional Info
Last Updated | April 12, 2019 |
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Created | November 14, 2018 |