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Description
SUERO CONTROL POSITIVO INES-PECIFICO PARA USO EN LA DETERMINACION DE ANTICUERPOSTREPONEMICOS RTC.
IMSS product code
080.081.1382.02
Each circle represents one of the 4 purchases of CONTROLES Y ESTÁNDARES made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 78,104 MXN | 10,773 MXN | 16 % | 8.96 | 16 de mayo de 2012 |
| Delegación Chiapas Almacen Subdelegacional En Tuxtla Gutierrez, Chiapas | Chiapas | 1 | 21,850 MXN | 2,850 MXN | 15 % | 300 | 26 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PIZAYA MOLINA JAIME ARTURO | 3 | 10,773 MXN | 16 % | 8.96 | 2011 - 2012 |
| JOSE FIDELINO AREVALO LOPEZ | 1 | 2,850 MXN | 15 % | 300 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=080.081.1382.02")
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=080.081.1382.02')
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=080.081.1382.02')