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Description
CAMPOS QUIRURGICOS, ESTERI-LES Y DESECHABLES, DE 15 X20 CM, EMPAQUE INDIVIDUAL.
IMSS product code
060.155.0155.01
Each circle represents one of the 2 purchases of CAMPOS QUIRÚRGICOS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 9,280 MXN | 1,280 MXN | 16 % | 8 | 10 de noviembre de 2010 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 7,787.2 MXN | 1,015.7 MXN | 15 % | 1.5 | 14 de agosto de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 1,015.7 MXN | 15 % | 1.5 | 2009 - 2009 |
| GRUPO LAMPORT, S. DE R.L. DE C.V. | 1 | 1,280 MXN | 16 % | 8 | 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=060.155.0155.01")
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=060.155.0155.01')
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=060.155.0155.01')