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Description
TRIMETOPRIMA CON SULFAMETOXAZOL DISCOS CON 25 MCG ENFRASCO O TUBO RTC.
IMSS product code
080.316.0043.10
Each circle represents one of the 2 purchases of DISCOS CON ANTIMICROBIANOS made by the IMSS between 2011 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 17,695.8 MXN | 2,469.8 MXN | 16.2 % | 55 | 1 de enero de 2011 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 1 | 591.6 MXN | 52.6 MXN | 9.76 % | 1.17 | 1 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDOR HOSPITALARIO DEL SURESTE, S.A. DE C.V. | 1 | 52.6 MXN | 9.76 % | 1.17 | 2011 - 2011 |
| HIPODERMICOS ARMA, S.A. DE C.V. | 1 | 2,469.8 MXN | 16.2 % | 55 | 2011 - 2011 |
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=080.316.0043.10")
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=080.316.0043.10')
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=080.316.0043.10')