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Description
PINZAS DE DISECCION MALIS, EN BAYONETA RECTA, EXTRA FINA, RECTA. ANCHO DE LA PUNTA 0.70 MM. LONGITUD DE TRABAHJO 218 MM.
IMSS product code
537.702.2420.01
Each circle represents one of the 2 purchases of PINZAS made by the IMSS between 2010 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 6,583 MXN | 908 MXN | 16 % | 0.8 | 18 de octubre de 2016 |
| H. de Traumatología y Ortopedia, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Traumatologia Y Ortopedia Puebla | Puebla | 1 | 5,336 MXN | 736 MXN | 16 % | 0.32 | 21 de diciembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ALONSO RUBIN FRANCISCO FERNANDO | 1 | 908 MXN | 16 % | 0.8 | 2016 - 2016 |
| MARBELLA ZETINA LAGUNES | 1 | 736 MXN | 16 % | 0.32 | 2010 - 2010 |
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=537.702.2420.01")
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=537.702.2420.01')
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=537.702.2420.01')