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Description
PORTAAGUJAS BARRAQUER, CON RETEN, QUIJADAS CURVAS, LONGITUD DE 110 A 115 MM.
IMSS product code
537.716.1020.01
Each circle represents one of the 2 purchases of PORTA AGUJA PARA MICROSUTURA made by the IMSS between 2009 and 2009.
| 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 | 22,045.5 MXN | 12,080.5 MXN | 121.2 % | 2.42 | 30 de junio de 2009 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 874 MXN | - MXN | - | - | 9 de junio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GOODS AND SERVICES DE MEXICO, S.A. DE C.V. | 1 | 12,080.5 MXN | 121.2 % | 2.42 | 2009 - 2009 |
| MANTENIMIENTO PREVENTIVO Y CORRECTIVO SA DE CV | 1 | - MXN | - | - | 2009 - 2009 |
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=537.716.1020.01")
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=537.716.1020.01')
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=537.716.1020.01')