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Description
PORTA AGUJAS CRILE MURRAY, RECTO, QUIJADA ESTRIADA, LONGITUD DE 150 A 160 MM.
IMSS product code
535.716.1701.01
Each circle represents one of the 10 purchases of PORTA AGUJA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 4 | 8,326.2 MXN | 676.2 MXN | 8.09 % | 2.78 | 31 de julio de 2018 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 1,461.6 MXN | 154.9 MXN | 9.34 % | 0.854 | 6 de julio de 2017 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 290 MXN | 86.7 MXN | 42.6 % | 0.426 | 30 de noviembre de 2017 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 10,571.7 MXN | 2,487.2 MXN | 30.8 % | 7.08 | 30 de noviembre de 2010 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 208.8 MXN | - MXN | - | - | 26 de julio de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 661.2 MXN | 409.4 MXN | 162.6 % | 3.25 | 26 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 6 | 651 MXN | 37.3 % | 4.53 | 2010 - 2017 |
| DRENOVAC, S. A. DE C. V. | 2 | 209.1 MXN | 8.17 % | 1.02 | 2009 - 2012 |
| CASTREJON ALONSO OSCAR | 1 | 2,487.2 MXN | 30.8 % | 7.08 | 2010 - 2010 |
| PROVEEDORA DE SUMINISTROS DEL SUR, S.A. DE C.V. | 1 | 467.1 MXN | 16 % | 1.76 | 2018 - 2018 |
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=535.716.1701.01")
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=535.716.1701.01')
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=535.716.1701.01')