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Description
MEDIO DE TRANSPORTE AGAR --(STUART) PARA CONSERVAR ESPECIMENES, PRINCIPALMENTE CUANDO SE SOSPECHA LA PRESENCIADE GONOCOCO.
IMSS product code
080.610.0079.10
Each circle represents one of the 2 purchases of MEDIOS DE CULTIVO MEDIOS ESPECIALES made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Gineco Obstetricia No. 3 "Dr. Víctor Manuel Espinosa de los Reyes Sánchez" La Raza Umae Gineco - Obstetricia La Raza | Ciudad de México | 1 | 763.3 MXN | 105.3 MXN | 16 % | 0.32 | 1 de enero de 2010 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 2,016.3 MXN | 263 MXN | 15 % | 0.15 | 13 de octubre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCESORIOS Y SUMINISTROS PARA LABORATORIO, S.A. DE | 1 | 263 MXN | 15 % | 0.15 | 2009 - 2009 |
| IMPULSORA MEDICA, S. A. DE C. V. | 1 | 105.3 MXN | 16 % | 0.32 | 2010 - 2010 |
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=080.610.0079.10")
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=080.610.0079.10')
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=080.610.0079.10')