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Description
BLANCO ALTA BLANCURA, TAMAÑO CARTA DE 75G/M2, (216 X 279)
Classification
Artículos de consumo. Papeleria
IMSS product code
311.685.7974.00
Each circle represents one of the 4 purchases of PAPEL BOND made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 4 | 1.9 millones MXN | 266,290.3 MXN | 17.1 % | 7,209.4 | 18 de junio de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA URUGUAY, S. A. DE C. V. | 1 | 33,357.6 MXN | 15 % | 678 | 2009 - 2009 |
| CONSORCIO PAPELERO, S. A. DE C. V. | 1 | 94,046.5 MXN | 14.1 % | 2,530 | 2011 - 2011 |
| CRIFASA, S. A. DE C. V. | 1 | 41,686.2 MXN | 23.3 % | 1,121.4 | 2011 - 2011 |
| PAPELERIA LOZANO HERMANOS, S. A. DE C. V. | 1 | 97,200 MXN | 16 % | 2,880 | 2010 - 2010 |
Entity type
Papeleria
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=311.685.7974.00")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=311.685.7974.00')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=311.685.7974.00')