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Description
CUCHARILLAS BUCK, CURVA, JUEGO DE DIFERENTES DIAMETROS: DEL NO. 0 (1.5 MM) DEL NO. 00 (2.0 MM).
IMSS product code
537.263.0961.01
Each circle represents one of the 12 purchases of CUCHARILLA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 450.1 MXN | 58.7 MXN | 15 % | 0.3 | 20 de octubre de 2009 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 306.9 MXN | - MXN | - | - | 21 de abril de 2017 |
| Delegación Chiapas Almacen Subdelegacional En Tuxtla Gutierrez, Chiapas | Chiapas | 1 | 306.9 MXN | 42.9 MXN | 16.2 % | 0.162 | 20 de julio de 2016 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 3,062.4 MXN | 421.9 MXN | 16 % | 1.6 | 30 de septiembre de 2016 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 1,252.8 MXN | 172.8 MXN | 16 % | 0.32 | 12 de julio de 2013 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 376.4 MXN | 97.4 MXN | 34.9 % | 0.349 | 6 de agosto de 2015 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 21,416.4 MXN | 4,770.2 MXN | 28.7 % | 2.29 | 7 de julio de 2017 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 751.7 MXN | 103.7 MXN | 16 % | 0.32 | 26 de noviembre de 2010 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 1,579.7 MXN | 191.8 MXN | 13.8 % | 0.553 | 9 de mayo de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 835.2 MXN | 141.3 MXN | 20.4 % | 0.407 | 24 de julio de 2018 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 1,566 MXN | 170.6 MXN | 12.2 % | 0.611 | 6 de abril de 2015 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 2,249.2 MXN | 310.2 MXN | 16 % | 0.48 | 29 de octubre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 4 | 837.4 MXN | 16.1 % | 2.94 | 2010 - 2018 |
| DEWIMED, S. A. | 2 | 156.1 MXN | 24.9 % | 0.649 | 2009 - 2015 |
| ADMINISTRADORA MEDICA INTERNACIONAL, S.A. DE C.V. | 1 | 4,770.2 MXN | 28.7 % | 2.29 | 2017 - 2017 |
| ARTICULOS MEDICOS DACASA, S.A. DE C.V. | 1 | 172.8 MXN | 16 % | 0.32 | 2013 - 2013 |
| HEMOST, S. A. DE C. V. | 1 | 191.8 MXN | 13.8 % | 0.553 | 2018 - 2018 |
| SUMINISTROS MEDICOS AVANZADOS S.A. DE C.V | 1 | 42.9 MXN | 16.2 % | 0.162 | 2016 - 2016 |
| SUPPORT GLOBAL BIOMEDICAL GROUP, S.A. DE C.V. | 1 | - MXN | - | - | 2017 - 2017 |
| VENSI VENTAJAS EN SERV. INTEGR., S.A.P.I. DE C.V. | 1 | 310.2 MXN | 16 % | 0.48 | 2014 - 2014 |
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=537.263.0961.01")
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=537.263.0961.01')
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=537.263.0961.01')