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Description
DETERMINACION DE CHLAMYDIA -SP POR EL METODO DE ELISARTC.
IMSS product code
080.081.4386.02
Each circle represents one of the 3 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 2 | 239,545 MXN | 31,245 MXN | 17.7 % | 7.8 | 15 de junio de 2009 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 12,155.8 MXN | 1,676.7 MXN | 16 % | 0.32 | 7 de octubre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LABORATORIOS LICON, S.A. | 1 | 29,596.5 MXN | 14.8 % | 7.39 | 2009 - 2009 |
| PUBLISALUD, S. A. DE C. V. | 1 | 1,648.5 MXN | 20.6 % | 0.412 | 2009 - 2009 |
| RAMIREZ ROMERO JESUS ARMANDO | 1 | 1,676.7 MXN | 16 % | 0.32 | 2010 - 2010 |
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=080.081.4386.02")
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=080.081.4386.02')
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=080.081.4386.02')