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Description
REACTIVO PARA LA IDENTIFICA-CION DE COAGULASA POSITIVAPRODUCIDA POR STAPHYLOCOCCUSAUREUS RTC.
IMSS product code
080.783.5194.01
Each circle represents one of the 3 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2010 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 1,141.3 MXN | 141.4 MXN | 14.1 % | 0.141 | 25 de marzo de 2010 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 8,138.1 MXN | 1,138.6 MXN | 16.3 % | 1.14 | 1 de enero de 2010 |
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 801,125 MXN | 110,500 MXN | 16 % | 40 | 7 de abril de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RAMIREZ ROMERO JESUS ARMANDO | 2 | 1,279.9 MXN | 15.2 % | 1.28 | 2010 - 2010 |
| ODICALP, S.A. DE C.V. | 1 | 110,500 MXN | 16 % | 40 | 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=080.783.5194.01")
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=080.783.5194.01')
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=080.783.5194.01')