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Description
Compra Emergente
IMSS product code
060.040.8710.10
Each circle represents one of the 4 purchases of AGUJAS made by the IMSS between 2009 and 2013.
| 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 | 72,384 MXN | 9,984 MXN | 16 % | 51.2 | 9 de octubre de 2013 |
| Delegación Guerrero | Guerrero | 1 | 1,193.7 MXN | 0.000000000000227 MXN | 0.000000000000019 % | 0.000000000000000657 | 18 de noviembre de 2009 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 8,897.2 MXN | 1,227.2 MXN | 16 % | 1.6 | 29 de febrero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LOPEZ ROSALES MARIO SANTIAGO | 2 | 9,984 MXN | 16 % | 51.2 | 2013 - 2013 |
| DISTRIBUIDORA DE PRODUCTOS PARA EL BIENESTAR CORPO | 1 | 1,227.2 MXN | 16 % | 1.6 | 2012 - 2012 |
| MANRIQUEZ GUADARRAMA MA. | 1 | 0.000000000000227 MXN | 0.000000000000019 % | 0.000000000000000657 | 2009 - 2009 |
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=060.040.8710.10")
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=060.040.8710.10')
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=060.040.8710.10')