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Description
S - 100 RTC.
IMSS product code
080.074.1134.10
Each circle represents one of the 19 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2011.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RAMIREZ ROMERO JESUS ARMANDO | 8 | 40,932.7 MXN | 17.5 % | 8.41 | 2009 - 2011 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 7 | 20,403.1 MXN | 52.2 % | 7.58 | 2009 - 2011 |
| COMERCIALIZADORA JOMAYER, S.A. DE C.V. | 2 | 17,156.8 MXN | 168.8 % | 3.38 | 2009 - 2009 |
| INDUSTRIAS BIOSELEC, S.A. DE C.V. | 1 | 701.4 MXN | 7.32 % | 0.146 | 2010 - 2010 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 1 | 5,253.3 MXN | 8.61 % | 1.03 | 2009 - 2009 |
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=080.074.1134.10")
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=080.074.1134.10')
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=080.074.1134.10')