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Description
FIBRINOGENO, EQUIPO DE REACTIVOS PARA MEDIR SU CONCENTRACION EN EL PLASMA SANGUINEO COMPUESTO DE: TROMBINA, CON AMORTIGUADOR DE BARBITAL O CON SUSPENSION DE CAOLIN EQUIPO PARA 120 A 160 PRUEBAS RTC.
IMSS product code
080.414.0028.02
Each circle represents one of the 2 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 2 | 29,441 MXN | 3,901 MXN | 15.5 % | 2.44 | 17 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCUTRACK, S. A. DE C. V. | 1 | 1,120 MXN | 16 % | 0.64 | 2010 - 2010 |
| DISTRIBUIDORA REANCO, S.A. DE C.V. | 1 | 2,781 MXN | 15 % | 1.8 | 2009 - 2009 |
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=080.414.0028.02")
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=080.414.0028.02')
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=080.414.0028.02')