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Description
TUBO PARA TOMA DE MUESTRAS -DE SANGRE CAPILAR, DE VIDRIO, TIPO NATELSON O CARAWAY, CON CAPACIDAD ENTRE 150Y 280 MICROLITROS CON ANTICOAGULANTE.
IMSS product code
080.909.1911.01
Each circle represents one of the 2 purchases of TUBOS made by the IMSS between 2010 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 6,550.7 MXN | 649.2 MXN | 11 % | 1.54 | 1 de enero de 2010 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 754 MXN | 104 MXN | 16 % | 0.32 | 16 de octubre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| VALBREN DE MEXICO, S.A. DE C.V. | 1 | 649.2 MXN | 11 % | 1.54 | 2010 - 2010 |
| VALENCIA DURAN MARIA ESTER | 1 | 104 MXN | 16 % | 0.32 | 2014 - 2014 |
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=080.909.1911.01")
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=080.909.1911.01')
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=080.909.1911.01')