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Description
PINZA ADLERKEUTZ, CON DIENTES, LONGITUD DE 200 MM.
IMSS product code
535.701.0338.01
Each circle represents one of the 20 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 San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 5 | 12,576.3 MXN | 1,100.6 MXN | 9.89 % | 4.62 | 6 de junio de 2013 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 3 | 11,930.3 MXN | 370.2 MXN | 2.95 % | 1.47 | 24 de abril de 2012 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 3,549.6 MXN | 240.8 MXN | 12.2 % | 0.974 | 22 de mayo de 2018 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 2 | 5,279.2 MXN | 2,711.5 MXN | 89.4 % | 10.7 | 9 de julio de 2013 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 2 | 7,432.3 MXN | 3,020.9 MXN | 60 % | 10.6 | 23 de julio de 2013 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 2 | 8,181.2 MXN | 1,537 MXN | 35.7 % | 4.13 | 4 de julio de 2018 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 5,104 MXN | 704 MXN | 16 % | 3.2 | 6 de octubre de 2016 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 1,676.2 MXN | - MXN | - | - | 9 de noviembre de 2012 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 671 MXN | 176.6 MXN | 35.7 % | 0.715 | 5 de octubre de 2010 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 365.4 MXN | 50.4 MXN | 16 % | 0.16 | 8 de noviembre de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 9 | 1,825.3 MXN | 7.84 % | 7.86 | 2009 - 2018 |
| DRENOVAC, S. A. DE C. V. | 2 | 515.3 MXN | 17.9 % | 2.15 | 2009 - 2009 |
| ATM ALTA TECNOLOGIA MEDICA, S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| DIMZA DC, S.A. DE C.V | 1 | 666.6 MXN | 55.4 % | 2.21 | 2018 - 2018 |
| EBS MEXICO, S.A. DE C.V. | 1 | 2,505.6 MXN | 84.2 % | 8.42 | 2013 - 2013 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 240.8 MXN | 24.4 % | 0.974 | 2010 - 2010 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 1 | 399.8 MXN | 19.8 % | 1.58 | 2012 - 2012 |
| PROVEEDORA MEDICAL DYCSA, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| RIOJA LOPEZ DARIO JOEL | 1 | 2,711.5 MXN | 178.8 % | 10.7 | 2012 - 2012 |
| SUPERVISION DE NEGOCIOS ESPECIALES COUTI?O, S.A. D | 1 | 176.6 MXN | 35.7 % | 0.715 | 2010 - 2010 |
| VARGAS ALVAREZ ANA LUISA | 1 | 870.4 MXN | 16 % | 1.92 | 2014 - 2014 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=535.701.0338.01")
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=535.701.0338.01')
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=535.701.0338.01')