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Description
SUTURAS, SEDA NEGRA TRENZA--DA, SIN AGUJA, LONG DE LA HEBRA 75 CM, CAL DE LA SUTURA3-0, SOBRE CON 7 HEBRAS.
IMSS product code
060.841.0734.10
Each circle represents one of the 3 purchases of SUTURAS made by the IMSS between 2011 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 2 | 18,687.6 MXN | 2,577.6 MXN | 16 % | 1.6 | 11 de junio de 2015 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 324.8 MXN | 44.8 MXN | 16 % | 0.16 | 13 de septiembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DURFA, S. A. DE C. V. | 2 | 2,577.6 MXN | 16 % | 1.6 | 2014 - 2015 |
| VERAME COMERCIALIZADORA MEDICA, S.A. DE C.V. | 1 | 44.8 MXN | 16 % | 0.16 | 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=060.841.0734.10")
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=060.841.0734.10')
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=060.841.0734.10')