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Description
TRIPSINA V RTC.
IMSS product code
080.783.4890.10
Each circle represents one of the 2 purchases of SUSTANCIAS BIOLÓGICAS ANTÍGENOS SUEROS made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 2 | 6,696.6 MXN | 923.7 MXN | 16 % | 1.12 | 2 de diciembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 1 | 395.9 MXN | 16 % | 0.48 | 2010 - 2010 |
| RAMIREZ ROMERO JESUS ARMANDO | 1 | 527.8 MXN | 16 % | 0.64 | 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=080.783.4890.10")
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=080.783.4890.10')
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=080.783.4890.10')