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Description
Compra Emergente
IMSS product code
060.446.0154.11
Each circle represents one of the 8 purchases of GRAPAS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 5 | 20,668.2 MXN | - MXN | - | - | 15 de septiembre de 2010 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 3 | 13,906.1 MXN | 6,946.8 MXN | 418.9 % | 12.7 | 10 de junio de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GONZALEZ FLORES CARLOS ALBERTO | 5 | - MXN | - | - | 2010 - 2010 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 3 | 6,946.8 MXN | 418.9 % | 12.7 | 2010 - 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=060.446.0154.11")
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=060.446.0154.11')
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=060.446.0154.11')