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Description
Cucharilla Buck recta borde romo del No 2
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.263.1365.00
Presentation
Pieza
Each circle represents one of the 2 purchases of CUCHARILLA made by the IMSS between 2016 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 189.9 MXN | 26.2 MXN | 16 % | 0.16 | 21 de abril de 2017 |
| Delegación Chiapas Almacen Subdelegacional En Tuxtla Gutierrez, Chiapas | Chiapas | 1 | 189.9 MXN | 26.2 MXN | 16 % | 0.16 | 20 de julio de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SUMINISTROS MEDICOS AVANZADOS S.A. DE C.V | 1 | 26.2 MXN | 16 % | 0.16 | 2016 - 2016 |
| SUPPORT GLOBAL BIOMEDICAL GROUP, S.A. DE C.V. | 1 | 26.2 MXN | 16 % | 0.16 | 2017 - 2017 |
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=537.263.1365.00")
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=537.263.1365.00')
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=537.263.1365.00')