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Description
CABLE GUIA CON RECUBRIMIENTODE POLITETRAFLUORETILENO PA-RA VIAS BILIARES DIAM ETRO0.35 MM LONG 480 CM TIPOSOEHENDRA.
IMSS product code
060.463.1820.01
Each circle represents one of the 4 purchases of GUÍAS made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 3 | 13,822.4 MXN | 3,915.4 MXN | 39.5 % | 1.19 | 1 de diciembre de 2010 |
| Delegación Baja California | Baja California | 1 | 1,500.4 MXN | - MXN | - | - | 15 de julio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SOLUMEDI, S.A. DE C.V. | 3 | 3,915.4 MXN | 39.5 % | 1.19 | 2010 - 2010 |
| ENDOMEDICA,S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
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=060.463.1820.01")
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=060.463.1820.01')
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=060.463.1820.01')