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Description
GUANTES PARA EXPLORACION, DEPOLIETILENO O LATEX, ESTERILDESECHABLE. TAMA\O GRANDE.
IMSS product code
060.456.0409.01
Each circle represents one of the 4 purchases of GUANTES made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco | Jalisco | 2 | 5,041.9 MXN | 22.2 MXN | 0.283 % | 0.228 | 14 de abril de 2009 |
| Delegación Chihuahua | Chihuahua | 1 | 2,436 MXN | - MXN | - | - | 17 de agosto de 2010 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 871,865.3 MXN | 120,257.3 MXN | 16 % | 1,541.8 | 10 de marzo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROMEDICA GARCIA, S. A. DE C. V. | 2 | 22.2 MXN | 0.283 % | 0.228 | 2009 - 2009 |
| DENTILAB, S. A. DE C. V. | 1 | 120,257.3 MXN | 16 % | 1,541.8 | 2016 - 2016 |
| QUEZADA ROMERO MIGUEL ANGEL | 1 | - MXN | - | - | 2010 - 2010 |
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=060.456.0409.01")
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=060.456.0409.01')
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=060.456.0409.01')