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Description
LECTINA ANTI A1 (FITOAGLUTININA A1) PARA DETERMINACION DE GRUPO A1 FRASCO CON 1 A 5 ML RTC.
IMSS product code
080.081.0236.10
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 | 213,547.9 MXN | 29,454.9 MXN | 20.4 % | 309.9 | 16 de febrero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LABORATORIOS LAFON, S. A. DE C. V. | 3 | 29,454.9 MXN | 20.4 % | 309.9 | 2011 - 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=080.081.0236.10")
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=080.081.0236.10')
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=080.081.0236.10')