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Description
UREA, CALDO PARA DIFERENCIARE IDENTIFICAR ENTEROBACTE-RIAS.
IMSS product code
080.829.2346.10
Each circle represents one of the 5 purchases of MEDIOS DE CULTIVO CALDOS made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 464 MXN | - MXN | - | - | 1 de enero de 2010 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 539.4 MXN | 371.3 MXN | 220.8 % | 2.21 | 1 de enero de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 3,702.7 MXN | 510.7 MXN | 16 % | 0.64 | 8 de marzo de 2013 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 361.9 MXN | 25.6 MXN | 7.62 % | 0.152 | 1 de enero de 2010 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 155 MXN | 20.2 MXN | 15 % | 0.15 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| Q.M.H. ABASTECEDORES, S. A. DE C. V. | 2 | 371.3 MXN | 110.4 % | 2.21 | 2010 - 2010 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 25.6 MXN | 7.62 % | 0.152 | 2010 - 2010 |
| DIKYSA, S. A. DE C. V. | 1 | 20.2 MXN | 15 % | 0.15 | 2009 - 2009 |
| DISTRIBUCIONES MEDICAS R Y G SA DE CV | 1 | 510.7 MXN | 16 % | 0.64 | 2013 - 2013 |
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=080.829.2346.10")
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=080.829.2346.10')
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=080.829.2346.10')