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Description
Compra Emergente
IMSS product code
060.167.0946.10
Each circle represents one of the 3 purchases of CÁNULAS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas | Chiapas | 1 | 1,529.7 MXN | 69.1 MXN | 4.73 % | 0.11 | 15 de abril de 2010 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 661.2 MXN | 31.6 MXN | 5.02 % | 0.0502 | 26 de marzo de 2010 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 1 | 1,047 MXN | 144.4 MXN | 16 % | 0.16 | 14 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| FRANCISCO GARCIA LOPEZ, S.A. DE C.V. | 1 | 144.4 MXN | 16 % | 0.16 | 2011 - 2011 |
| SERVICIOS INTEGRALES DE APOYO MEDICOS, SA DE CV | 1 | 31.6 MXN | 5.02 % | 0.0502 | 2010 - 2010 |
| ZARATE RODRIGUEZ JOSE ALBERTO | 1 | 69.1 MXN | 4.73 % | 0.11 | 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=060.167.0946.10")
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=060.167.0946.10')
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=060.167.0946.10')