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Description
GUANTES PARA CIRUGIA, DE LA-TEX NATURAL DESECHABLES TA-LLA 8.
IMSS product code
060.456.0359.01
Each circle represents one of the 3 purchases of GUANTES made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guerrero | Guerrero | 2 | 2,962.4 MXN | - MXN | - | - | 30 de enero de 2009 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 5,308.2 MXN | 732.2 MXN | 16 % | 176 | 8 de septiembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| VALLE CASTILLO ABEL | 2 | - MXN | - | - | 2009 - 2009 |
| VEULENT DE MEXICO SA DE CV | 1 | 732.2 MXN | 16 % | 176 | 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=060.456.0359.01")
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=060.456.0359.01')
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=060.456.0359.01')