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Description
LATEX B - 8 RTC.
IMSS product code
080.783.4957.10
Each circle represents one of the 5 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2012 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 5 | 860 MXN | 102.4 MXN | 15.2 % | 1.07 | 10 de diciembre de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RODRIGUEZ VICTORIO KARINA | 2 | - MXN | - | - | 2013 - 2013 |
| SOLUCIONES ALERGICAS, S.A. DE C.V. | 2 | 12.4 MXN | 22.6 % | 0.452 | 2012 - 2013 |
| ANTIGENOS ALLERGOMEX DISTRIB., S.A. DE C.V. | 1 | 90 MXN | 31 % | 0.621 | 2012 - 2012 |
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=080.783.4957.10")
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=080.783.4957.10')
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=080.783.4957.10')