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Description
PINZA FERRIS-KERRISON-SMITH, CORTE HACIA ARRIBA, PUNTA ANGULADA A 130 GRADOS MORDIDA DE 3 MM. LONGITUD TOTAL 180 MM.
IMSS product code
537.702.3527.01
Each circle represents one of the 8 purchases of PINZAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 12,621.5 MXN | 2,615.9 MXN | 22.4 % | 0.738 | 28 de julio de 2018 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 8,120 MXN | 245 MXN | 3.11 % | 0.0622 | 17 de mayo de 2018 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 9,774.2 MXN | 1,348.2 MXN | 16 % | 0.32 | 16 de abril de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 20,700 MXN | 3,375.9 MXN | 19.5 % | 0.39 | 1 de julio de 2009 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 6,090 MXN | 840 MXN | 16 % | 0.16 | 8 de noviembre de 2017 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 9,184 MXN | 522 MXN | 6.03 % | 0.0603 | 11 de junio de 2009 |
| H. de Traumatología y Ortopedia, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Traumatologia Y Ortopedia Puebla | Puebla | 1 | 46,400 MXN | 6,400 MXN | 16 % | 0.64 | 7 de diciembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 4 | 6,735.9 MXN | 16.9 % | 1.19 | 2009 - 2018 |
| DEWIMED, S. A. | 1 | 522 MXN | 6.03 % | 0.0603 | 2009 - 2009 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 1,348.2 MXN | 16 % | 0.32 | 2010 - 2010 |
| MARBELLA ZETINA LAGUNES | 1 | 6,400 MXN | 16 % | 0.64 | 2016 - 2016 |
| NEODREN, S. DE R. L. DE C. V. | 1 | 340.9 MXN | 16 % | 0.16 | 2015 - 2015 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
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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=537.702.3527.01")
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=537.702.3527.01')
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=537.702.3527.01')