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Description
Tijera Aebli para córnea acodada a la derecha longitud de 95 a 100 mm
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.857.1938.00
Presentation
Pieza
Each circle represents one of the 2 purchases of TIJERA OFTÁLMICA made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 2,028 MXN | 279.7 MXN | 16 % | 0.16 | 30 de marzo de 2010 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 1,716.8 MXN | 236.8 MXN | 16 % | 0.64 | 17 de julio de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DEWIMED, S. A. | 1 | 236.8 MXN | 16 % | 0.64 | 2017 - 2017 |
| IQUEO, S.A. DE C.V. | 1 | 279.7 MXN | 16 % | 0.16 | 2010 - 2010 |
Entity type
Instrumental de cirugia de especialidades
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=537.857.1938.00")
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=537.857.1938.00')
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=537.857.1938.00')