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Description
Compra Emergente
IMSS product code
060.167.6638.11
Each circle represents one of the 8 purchases of CATÉTERES made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco | Jalisco | 2 | 537.7 MXN | - MXN | - | - | 20 de octubre de 2010 |
| Delegación Tamaulipas | Tamaulipas | 2 | 2,932.5 MXN | 607.9 MXN | 217.6 % | 5.01 | 7 de octubre de 2009 |
| Delegación Baja California | Baja California | 1 | 1,509.6 MXN | 226.9 MXN | 17.7 % | 1.96 | 30 de octubre de 2010 |
| Delegación Coahuila | Coahuila | 1 | 1,102 MXN | 431.7 MXN | 64.4 % | 3.74 | 7 de octubre de 2010 |
| Delegación Querétaro | Querétaro | 1 | 162.4 MXN | - MXN | - | - | 13 de septiembre de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 1,044 MXN | - MXN | - | - | 6 de agosto de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIAL ALPRO, S.A. DE C.V. | 2 | 607.9 MXN | 217.6 % | 5.01 | 2009 - 2009 |
| PROMEDICA GARCIA, S. A. DE C. V. | 2 | - MXN | - | - | 2010 - 2010 |
| DIAGNOSTICA NUEVA ACCION, S. A. DE C. V. | 1 | 226.9 MXN | 17.7 % | 1.96 | 2010 - 2010 |
| DULCE PRISILIA CONTRERAS VAZQUEZ | 1 | 431.7 MXN | 64.4 % | 3.74 | 2010 - 2010 |
| HI-TEC MEDICAL DE QUERETARO, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| SISTEMAS HOSPITALARIOS DALCA S.A DE C.V. | 1 | - MXN | - | - | 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=060.167.6638.11")
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=060.167.6638.11')
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=060.167.6638.11')