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Description
PINZA DE DISECCION GERALD, RECTA FINA CON DIENTES 2 X 1 LONGITUD 175 MM.
IMSS product code
537.702.2099.01
Each circle represents one of the 17 purchases of PINZAS made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 6 | 8,162.4 MXN | 353 MXN | 5.06 % | 1.66 | 30 de noviembre de 2017 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 2 | 2,651.8 MXN | 792 MXN | 43.6 % | 5.55 | 27 de marzo de 2014 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 636.3 MXN | - MXN | - | - | 30 de julio de 2014 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 381.4 MXN | - MXN | - | - | 6 de agosto de 2015 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 79,506.4 MXN | 17,147.4 MXN | 27.5 % | 12.6 | 23 de octubre de 2015 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 4,930 MXN | 1,355 MXN | 37.9 % | 9.48 | 5 de febrero de 2013 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 208.8 MXN | 31.3 MXN | 17.6 % | 0.176 | 26 de julio de 2010 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 220.4 MXN | 42.9 MXN | 24.2 % | 0.242 | 5 de octubre de 2010 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 3,062.4 MXN | - MXN | - | - | 16 de mayo de 2016 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 417.6 MXN | 57.6 MXN | 16 % | 0.32 | 2 de febrero de 2011 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 6,486 MXN | 3,909.4 MXN | 151.7 % | 7.59 | 19 de julio de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 7 | 2,435.9 MXN | 25 % | 16.3 | 2010 - 2017 |
| NEODREN, S. DE R. L. DE C. V. | 4 | - MXN | - | - | 2013 - 2015 |
| DRENOVAC, S. A. DE C. V. | 1 | - MXN | - | - | 2012 - 2012 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 153 MXN | 14.4 % | 0.862 | 2010 - 2010 |
| LOMEDIC, S. A. DE C. V. | 1 | - MXN | - | - | 2016 - 2016 |
| MULTISERVICIOS METZOR, S. DE R.L. DE C.V. | 1 | 3,909.4 MXN | 151.7 % | 7.59 | 2016 - 2016 |
| RESPVITAL, S.A. DE C.V. | 1 | 17,147.4 MXN | 27.5 % | 12.6 | 2015 - 2015 |
| SUPERVISION DE NEGOCIOS ESPECIALES COUTI?O, S.A. D | 1 | 42.9 MXN | 24.2 % | 0.242 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=537.702.2099.01")
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=537.702.2099.01')
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=537.702.2099.01')