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Description
CONTROL HEMATOLOGICO DE REFERENCIA ELABORADO A BASE DE -SANGRE HUMANA ESTANDARIZADACON VALORES ALTOS, MEDIOS YBAJOS CONOCIDOS PARA LEUCOCITOS, ERITROCITOS, HEMOGLOBI-NA, HEMATOCRITO, VCM, HCMY CMHC FCO CON 1 ML CADA UNO
IMSS product code
080.823.0270.03
Each circle represents one of the 2 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 40,646.4 MXN | 5,606.4 MXN | 16 % | 1.28 | 30 de marzo de 2011 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 1,118.2 MXN | 154.2 MXN | 16 % | 0.16 | 2 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DICIPA, S. A. DE C. V. | 1 | 154.2 MXN | 16 % | 0.16 | 2010 - 2010 |
| PIZAYA MOLINA JAIME ARTURO | 1 | 5,606.4 MXN | 16 % | 1.28 | 2011 - 2011 |
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=080.823.0270.03")
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=080.823.0270.03')
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=080.823.0270.03')