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Description
PARA BOTE TIPO CAMPANA CALIBRE 150DE 50 X 60 CM COLOR VER DE
Classification
Artículos de consumo. Articulos de aseo
IMSS product code
350.119.0460.00
Each circle represents one of the 11 purchases of BOLSA DE POLIETILENO made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Nayarit | Nayarit | 2 | 2,070 MXN | - MXN | - | - | 3 de febrero de 2009 |
| Delegación Baja California | Baja California | 1 | 313.3 MXN | - MXN | - | - | 17 de agosto de 2010 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 13,860 MXN | - MXN | - | - | 3 de julio de 2009 |
| Delegación Colima | Colima | 1 | 550 MXN | 257.5 MXN | 88.1 % | 1.02 | 28 de enero de 2010 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 730,440.9 MXN | 458,529.6 MXN | 168.6 % | 4,310.2 | 1 de enero de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 4,872 MXN | 1,470.5 MXN | 43.2 % | 4.32 | 30 de julio de 2014 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 4,640 MXN | 640 MXN | 16 % | 1.28 | 11 de agosto de 2016 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 60,296.8 MXN | 7,984.6 MXN | 15.3 % | 35.1 | 3 de octubre de 2017 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 16,434.9 MXN | 1,468.4 MXN | 9.81 % | 4.32 | 17 de septiembre de 2014 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 1 | 34,684 MXN | 5,116.2 MXN | 17.3 % | 22.5 | 13 de marzo de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CYO FACTORY, S. A. DE C. V. | 2 | 13,100.8 MXN | 16.3 % | 57.6 | 2017 - 2017 |
| CEBALLOS SOSA JORGE MANUEL | 1 | - MXN | - | - | 2009 - 2009 |
| COMERLIMP, S.A. DE C.V. | 1 | 1,468.4 MXN | 9.81 % | 4.32 | 2014 - 2014 |
| CYO CHEMICAL, S. A. DE C. V. | 1 | 458,529.6 MXN | 168.6 % | 4,310.2 | 2009 - 2009 |
| DISTRIBUIDORA JOFA, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| GUTIERREZ VIDAL JAVIER MARIO | 1 | 1,470.5 MXN | 43.2 % | 4.32 | 2014 - 2014 |
| GYAPHARMA S.A. DE C.V | 1 | - MXN | - | - | 2009 - 2009 |
| ING. DAVID GARCIA ARCADIA Y/O GYAPHARMA | 1 | - MXN | - | - | 2009 - 2009 |
| LEON PALACIO DAVID | 1 | 640 MXN | 16 % | 1.28 | 2016 - 2016 |
| NUNEZ NIETO ROCIO | 1 | 257.5 MXN | 88.1 % | 1.02 | 2010 - 2010 |
Entity type
Articulos de aseo
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=350.119.0460.00")
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=350.119.0460.00')
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=350.119.0460.00')