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Description
SUERO PARA TIPIFICAR LA SANGRE ANTI-RH" (ANTI-E) FRASCOCON 1 - 5 ML RTC.
IMSS product code
080.081.0467.10
Each circle represents one of the 3 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2011 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 455,058.7 MXN | 62,766.7 MXN | 17.3 % | 37.3 | 16 de mayo de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO LAYN PLUS, S. A. DE C. V. | 2 | 27,038 MXN | 18.3 % | 22.6 | 2011 - 2012 |
| PIZAYA MOLINA JAIME ARTURO | 1 | 35,728.8 MXN | 15.3 % | 14.7 | 2012 - 2012 |
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=080.081.0467.10")
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=080.081.0467.10')
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=080.081.0467.10')