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Description
MEDIO T C B S.
IMSS product code
080.610.2448.10
Each circle represents one of the 3 purchases of MEDIOS DE CULTIVO MEDIOS ESPECIALES made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 3,685.3 MXN | 411.4 MXN | 12.6 % | 1.13 | 1 de enero de 2011 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 1 | 736 MXN | 96 MXN | 15 % | 0.3 | 1 de enero de 2009 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 1,800.3 MXN | 345.2 MXN | 23.7 % | 0.949 | 1 de febrero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BIO LEBEN, S.A. DE C.V. | 1 | 345.2 MXN | 23.7 % | 0.949 | 2011 - 2011 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 1 | 96 MXN | 15 % | 0.3 | 2009 - 2009 |
| MCD LAB, S.A. DE C.V. | 1 | 411.4 MXN | 12.6 % | 1.13 | 2011 - 2011 |
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=080.610.2448.10")
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=080.610.2448.10')
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=080.610.2448.10')