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Description
TIJERA COTTLE, ANGULADA, LONGITUD DE LA QUIJADA 52 MM. LONGITUD TOTAL 160 MM.
IMSS product code
537.857.1466.01
Each circle represents one of the 3 purchases of TIJERA made by the IMSS between 2010 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 475.1 MXN | 65.5 MXN | 16 % | 0.16 | 6 de julio de 2010 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 4,377.5 MXN | 603.8 MXN | 16 % | 0.32 | 6 de junio de 2014 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 3,771 MXN | 520.1 MXN | 16 % | 0.8 | 6 de agosto de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DEWIMED, S. A. | 2 | 585.7 MXN | 16 % | 0.96 | 2010 - 2015 |
| INTERNATIONAL EQUIPMENT JCB, S. A. DE C. V. | 1 | 603.8 MXN | 16 % | 0.32 | 2014 - 2014 |
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=537.857.1466.01")
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=537.857.1466.01')
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=537.857.1466.01')