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Description
MARCA PANASONIC, MODELO KXP 1123/1124/1180/1695
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.198.0328.00
Each circle represents one of the 9 purchases of CINTA PARA IMPRESORA made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 6 | 4,329.6 MXN | 2,144.9 MXN | 89.5 % | 24.8 | 16 de octubre de 2009 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 614.8 MXN | - MXN | - | - | 15 de mayo de 2009 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 897 MXN | - MXN | - | - | 1 de enero de 2009 |
| Delegación Tamaulipas | Tamaulipas | 1 | 86.9 MXN | - MXN | - | - | 7 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| IMPRESOS Y PAPELERIA OCANA S DE R.L. DE C.V. | 4 | 1,964.9 MXN | 110.6 % | 22.8 | 2009 - 2009 |
| PAPELERIA PEKIN DE MEXICALI SRLCV | 2 | 179.9 MXN | 47.4 % | 2.08 | 2009 - 2009 |
| COMERCIALIZADORA CIPAC, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| M. A. CORPORACION DE MEXICO, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
| Proveedor local no identificado (Compra Emergente) | 1 | - MXN | - | - | 2009 - 2009 |
Entity type
Material de uso en equipos de computo
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=372.198.0328.00")
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=372.198.0328.00')
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=372.198.0328.00')