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Description
PINZA DE DISECCION CASTROVIEJO, RECTA. LONGITUD 110 MM.
IMSS product code
537.702.2032.01
Each circle represents one of the 6 purchases of PINZAS made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 7,263.9 MXN | 984.9 MXN | 15.5 % | 0.62 | 2 de agosto de 2011 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 2,021.2 MXN | 278.8 MXN | 16 % | 0.16 | 9 de noviembre de 2010 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 15,979 MXN | - MXN | - | - | 6 de agosto de 2015 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 7,458.2 MXN | 4,090.8 MXN | 121.5 % | 1.21 | 11 de mayo de 2015 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 14,964.8 MXN | 2,064.1 MXN | 16 % | 2.08 | 24 de abril de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO NEOMEDICA, S. A. DE C. V. | 1 | 2,064.1 MXN | 16 % | 2.08 | 2013 - 2013 |
| DEWIMED, S. A. | 1 | 4,090.8 MXN | 121.5 % | 1.21 | 2015 - 2015 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 688.5 MXN | 16 % | 0.32 | 2011 - 2011 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 296.4 MXN | 15 % | 0.3 | 2009 - 2009 |
| OFTALMICA INTERNACIONAL | 1 | 278.8 MXN | 16 % | 0.16 | 2010 - 2010 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | - MXN | - | - | 2015 - 2015 |
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=537.702.2032.01")
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=537.702.2032.01')
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=537.702.2032.01')