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Description
NITRATO DE SODIO ACS TA.
IMSS product code
080.783.5178.02
Each circle represents one of the 5 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2012 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 4 | 2,865.5 MXN | 395.2 MXN | 16 % | 2.4 | 24 de marzo de 2016 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 361.9 MXN | 49.9 MXN | 16 % | 0.32 | 11 de abril de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| FCD LABS, S.A. DE C.V. | 3 | 101.3 MXN | 16 % | 0.639 | 2012 - 2015 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 1 | 25.1 MXN | 16.1 % | 0.161 | 2012 - 2012 |
| PHARMA OSHA, S. DE R.L. DE C.V. | 1 | 318.7 MXN | 16 % | 1.92 | 2016 - 2016 |
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=080.783.5178.02")
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=080.783.5178.02')
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=080.783.5178.02')