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Description
SEPARADOR DEAVER, VALVA DE 25 MM. X 230 MM.
IMSS product code
535.814.6271.01
Each circle represents one of the 15 purchases of SEPARADORES made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 377 MXN | - MXN | - | - | 6 de agosto de 2015 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 2,083.4 MXN | 264.2 MXN | 13.3 % | 1.63 | 11 de julio de 2017 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 1,392 MXN | 255 MXN | 22.4 % | 1.35 | 30 de noviembre de 2017 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 178.6 MXN | - MXN | - | - | 6 de octubre de 2016 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 5,568 MXN | 1,168 MXN | 26.5 % | 2.12 | 26 de octubre de 2012 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 364.2 MXN | 50.2 MXN | 16 % | 0.32 | 6 de octubre de 2014 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 223.3 MXN | - MXN | - | - | 3 de noviembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 1,044 MXN | 106 MXN | 11.3 % | 0.678 | 5 de febrero de 2013 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 306.8 MXN | 42.3 MXN | 16 % | 0.32 | 25 de junio de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 1,339.8 MXN | 438.9 MXN | 48.7 % | 1.46 | 27 de septiembre de 2016 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 219.2 MXN | 62.9 MXN | 40.2 % | 0.402 | 13 de diciembre de 2013 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 1,339.8 MXN | 275.8 MXN | 25.9 % | 1.04 | 30 de octubre de 2015 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 179.8 MXN | - MXN | - | - | 6 de julio de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 10 | 738.3 MXN | 11.7 % | 4.37 | 2013 - 2017 |
| DEWIMED, S. A. | 1 | 275.8 MXN | 25.9 % | 1.04 | 2015 - 2015 |
| HEMOST, S. A. DE C. V. | 1 | - MXN | - | - | 2012 - 2012 |
| PROQUIGAMA, S.A. DE C.V. | 1 | 42.3 MXN | 16 % | 0.32 | 2010 - 2010 |
| REACTIVOS Y PRODUCTOS QUIMICOS GUERRERO, S.A. C.V. | 1 | 438.9 MXN | 48.7 % | 1.46 | 2016 - 2016 |
| RIOJA LOPEZ DARIO JOEL | 1 | 1,168 MXN | 26.5 % | 2.12 | 2012 - 2012 |
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=535.814.6271.01")
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=535.814.6271.01')
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=535.814.6271.01')