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Description
Tijera Landolt con curva ligera longitud de 120 a 125 mm
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.857.2126.00
Presentation
Pieza
Each circle represents one of the 3 purchases of TIJERA OFTÁLMICA made by the IMSS between 2014 and 2018.
| 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 | 835.2 MXN | 115.2 MXN | 16 % | 0.32 | 6 de junio de 2014 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 754 MXN | 104 MXN | 16 % | 0.16 | 17 de agosto de 2018 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 1,218 MXN | 168 MXN | 16 % | 0.48 | 6 de julio de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 387.2 MXN | 16 % | 0.96 | 2014 - 2018 |
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=537.857.2126.00")
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=537.857.2126.00')
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=537.857.2126.00')