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Description
COMPONENTE C3 PARA CUANTIFICAR POR INMUNODIFUSION RA-DIAL (IDR) 6-PLACAS DE GELCON 12 O 16 POZOS CADA UNAY SUERO CONTROL RTC.
IMSS product code
080.829.2403.02
Each circle represents one of the 6 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 3 | 138,620 MXN | 19,120 MXN | 13.7 % | 3.68 | 12 de abril de 2011 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 3 | 79,400 MXN | 10,951.7 MXN | 16 % | 1.92 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INTERBIOL, S. A. DE C. V. | 4 | 24,595.9 MXN | 14.3 % | 4.64 | 2010 - 2011 |
| ESCAMILLA ZENTENO AURORA | 1 | 3,650.6 MXN | 16 % | 0.64 | 2011 - 2011 |
| TESSAN GARCIA OMAR FARID | 1 | 1,825.3 MXN | 16 % | 0.32 | 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=080.829.2403.02")
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=080.829.2403.02')
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=080.829.2403.02')