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Description
PUNTO AMARILLO PARA MAQUINA DE ESCRIBIR OLYMPIA SPRINTERTYPE
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.205.1638.00
Each circle represents one of the 7 purchases of CINTA CORRECTORA made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 2 | 977.5 MXN | 134.7 MXN | 16 % | 28.8 | 1 de enero de 2011 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 2 | 33 MXN | 4.66 MXN | 13.8 % | 0.984 | 24 de junio de 2010 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 168.1 MXN | 23.2 MXN | 16 % | 4.8 | 1 de enero de 2013 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 1 | 168.1 MXN | 23.2 MXN | 16 % | 4.8 | 28 de febrero de 2013 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 297 MXN | 41 MXN | 16 % | 10.2 | 1 de enero de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ANUNCIOS, IMPRESIONES Y SOLUCIONES S.A. DE C.V. | 2 | 46.4 MXN | 16 % | 9.6 | 2013 - 2013 |
| DEPORTES Y REGALOS SAMAR, S. A. DE C. V. | 2 | 134.7 MXN | 16 % | 28.8 | 2010 - 2011 |
| DAVLU DISTRIBUIDORA S.A. DE C.V. | 1 | 41 MXN | 16 % | 10.2 | 2017 - 2017 |
| G SHABEL, SA DE CV | 1 | 0.469 MXN | 9.92 % | 0.0992 | 2010 - 2010 |
| OFILLEVA, SA DE CV | 1 | 4.19 MXN | 17.7 % | 0.885 | 2010 - 2010 |
Entity type
Utiles de oficina
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=312.205.1638.00")
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=312.205.1638.00')
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=312.205.1638.00')