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Description
FACTOR DE CRECIMIENTO EPIDERMAL RTC.
IMSS product code
080.826.2216.10
Each circle represents one of the 3 purchases of SUSTANCIAS BIOLÓGICAS ANTÍGENOS SUEROS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 28,577.5 MXN | 3,727.5 MXN | 15 % | 0.15 | 25 de septiembre de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 34,496.1 MXN | 4,758.1 MXN | 16 % | 0.16 | 15 de diciembre de 2010 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 20,827.7 MXN | 2,872.8 MXN | 16 % | 0.16 | 1 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MENESES SOTO PERLA | 1 | 3,727.5 MXN | 15 % | 0.15 | 2009 - 2009 |
| PRODUCTOS MEDICOS E HIGIENICOS S.A. DE C.V. | 1 | 4,758.1 MXN | 16 % | 0.16 | 2010 - 2010 |
| RAMIREZ ROMERO JESUS ARMANDO | 1 | 2,872.8 MXN | 16 % | 0.16 | 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=080.826.2216.10")
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=080.826.2216.10')
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=080.826.2216.10')