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Description
CONCANAVALINA A/HRP (AC PRIMARIO) RTC.
IMSS product code
080.070.0197.10
Each circle represents one of the 8 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2008 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 8 | 117,678.2 MXN | 16,152.3 MXN | 15.9 % | 3.02 | 13 de marzo de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 5 | 11,751.6 MXN | 16 % | 2.08 | 2013 - 2018 |
| RAMIREZ ROMERO JESUS ARMANDO | 3 | 4,400.7 MXN | 15.7 % | 0.94 | 2008 - 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=080.070.0197.10")
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=080.070.0197.10')
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=080.070.0197.10')