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Description
GLOBULOS ROJOS CON CARACTERISTICAS ANTIGENICAS CONOCIDAS PANEL A FRASCOS CON 2 A 5 ML. CADA UNO RTC.
IMSS product code
080.070.1328.02
Each circle represents one of the 2 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2013.
| 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 | 1 | 24,840 MXN | 3,240 MXN | 15 % | 1.8 | 1 de enero de 2009 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 64,753.8 MXN | 8,931.5 MXN | 16 % | 3.2 | 13 de junio de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABALAT, S.A. DE C.V. | 1 | 8,931.5 MXN | 16 % | 3.2 | 2013 - 2013 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 1 | 3,240 MXN | 15 % | 1.8 | 2009 - 2009 |
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=080.070.1328.02")
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=080.070.1328.02')
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=080.070.1328.02')