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Description
TUBOS DE POLIPROPILENO TIPO EPPENDORFF, CON CAPACIDAD DE 200 MICROLITROS, CON TAPA Y SELLO DE SEGURIDAD, FONDO REDONDEADO RESISTE 16,000 G, SE ESTERILIZAN EN AUTOCLAVE. CALIDAD PCR. BOLSA MINIMO 200, MAXIMO 500 PIEZAS.
IMSS product code
080.909.1655.01
Each circle represents one of the 4 purchases of TUBOS made by the IMSS between 2018 and 2019.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 4 | 6,907.8 MXN | 1,211.9 MXN | 17.2 % | 1,166.2 | 21 de enero de 2019 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BONILLA NAVARRETE ISAAC JOEL | 3 | 1,163.9 MXN | 17.6 % | 926.2 | 2018 - 2018 |
| CASLAB DE MEXICO, S. A. DE C. V. | 1 | 48 MXN | 16 % | 240 | 2019 - 2019 |
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=080.909.1655.01")
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=080.909.1655.01')
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=080.909.1655.01')