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Description
PINZA PARA BIOPSIA YASARGIL-SAMII, CON PUNTA EN FORMA DE CUCHARILLA DE 7 MM DE DIAMETRO. LONGITUD DE TRABAJO 140 MM.
IMSS product code
537.702.2271.01
Each circle represents one of the 2 purchases of PINZAS made by the IMSS between 2010 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Colima Almacen Delegacional En Colima | Colima | 1 | 29,856.5 MXN | 4,118.1 MXN | 16 % | 0.32 | 31 de mayo de 2010 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 11,665.7 MXN | 1,609.1 MXN | 16 % | 0.16 | 27 de octubre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DEWIMED, S. A. | 1 | 4,118.1 MXN | 16 % | 0.32 | 2010 - 2010 |
| MAINEQ DE MEXICO, S.A. DE C.V. | 1 | 1,609.1 MXN | 16 % | 0.16 | 2015 - 2015 |
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=537.702.2271.01")
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=537.702.2271.01')
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=537.702.2271.01')