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Description
QW 60-2 (59 MM X 30 M) TERMOSENSIBLE. PARA GASTO CARDIACO (ESPECIFICAR MARCA Y MODELO DEL EQUIPO).
Classification
Material médico. Material de curacion
IMSS product code
060.685.0360.10
Each circle represents one of the 2 purchases of PAPEL made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 3,108 MXN | 308 MXN | 11 % | 5.5 | 29 de marzo de 2010 |
| Delegación Oaxaca | Oaxaca | 1 | 2,875 MXN | - MXN | - | - | 28 de abril de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO KASTARI SA DE CV | 1 | 308 MXN | 11 % | 5.5 | 2010 - 2010 |
| INSTRUMENTOS BIOTECNOLOGICOS DE MEXICO, SA DE CV | 1 | - MXN | - | - | 2009 - 2009 |
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=060.685.0360.10")
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=060.685.0360.10')
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=060.685.0360.10')