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Description
SISTEMA DE PREPARACION DE LAMINILLAS PARA HIBRIDACION INSITU CAJA CON 200 LAMINI---LLAS.
IMSS product code
080.070.1393.10
Each circle represents one of the 3 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 2 | 138,309.6 MXN | 19,077.2 MXN | 16 % | 6.4 | 2 de marzo de 2018 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 6,609.4 MXN | 911.6 MXN | 16 % | 0.48 | 16 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BIOCARE MEDICAL REPRESENTANTE, S.A. DE C.V. | 2 | 19,077.2 MXN | 16 % | 6.4 | 2017 - 2018 |
| RAMIREZ ROMERO JESUS ARMANDO | 1 | 911.6 MXN | 16 % | 0.48 | 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=080.070.1393.10")
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=080.070.1393.10')
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=080.070.1393.10')