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Description
Osteosíntesis para cirugía maxilofacial. La selección del material y las medidas estará a cargo de las unidades de atención de acuerdo a sus necesidades. Placas en doble šYš para tornillo de 1.2 mm a 2.0 mm de diámetro. Número de orificios: 6 a 8. Incluye medidas intermedias entre las especificadas
Classification
Material médico. Material de curacion
IMSS product code
060.722.0142.00
Presentation
Pieza
Each circle represents one of the 2 purchases of PLACAS made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa | Sinaloa | 2 | 1,315.4 MXN | 73.1 MXN | 5.56 % | 0.129 | 11 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BIOMET MEXICO, S.A. DE C.V. | 2 | 73.1 MXN | 5.56 % | 0.129 | 2010 - 2010 |
Entity type
Material de curacion
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=060.722.0142.00")
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=060.722.0142.00')
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=060.722.0142.00')