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Description
CLORHIDRATO DE PARARROSANILINA BASICA (FUSCINA) TA.
IMSS product code
080.229.0601.03
Each circle represents one of the 2 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 37,260 MXN | 5,742.9 MXN | 18.2 % | 13.1 | 1 de enero de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 998.2 MXN | - MXN | - | - | 4 de marzo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 5,742.9 MXN | 18.2 % | 13.1 | 2009 - 2009 |
| DISTRIBUCION Y MANTENIMIENTO DEL NOROESTE SA DE CV | 1 | - MXN | - | - | 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=080.229.0601.03")
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=080.229.0601.03')
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=080.229.0601.03')