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Description
LIQUIDO DE TURCK PARA CONTARLEUCOCITOS.
IMSS product code
080.783.1482.10
Each circle represents one of the 4 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 6,927.5 MXN | 955.5 MXN | 22.4 % | 26.1 | 23 de febrero de 2012 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 96.3 MXN | 13.3 MXN | 16 % | 0.16 | 21 de julio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO LAYN PLUS, S. A. DE C. V. | 2 | 719.7 MXN | 25.6 % | 15.4 | 2012 - 2012 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 235.8 MXN | 16 % | 10.7 | 2011 - 2011 |
| SAINZ MENDIA PALOMA RUBI | 1 | 13.3 MXN | 16 % | 0.16 | 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=080.783.1482.10")
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=080.783.1482.10')
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=080.783.1482.10')