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Description
SOLUCION AMORTIGUADORA (BU--FFER) TIPO S 1,500 DE FOSFATOS CON PH DE 7.381 +- 0.005A 38 GRADOS CENTIGRADOS TA.
IMSS product code
080.823.0312.03
Each circle represents one of the 3 purchases of SOLUCIONES AMORTIGUADORAS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 155.3 MXN | 39.1 MXN | 33.6 % | 1.01 | 9 de febrero de 2009 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 391.9 MXN | 54.1 MXN | 16 % | 1.92 | 1 de enero de 2011 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 67.5 MXN | - MXN | - | - | 16 de febrero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 2 | 54.1 MXN | 8 % | 1.92 | 2009 - 2011 |
| PROMELAB COMERCIALIZADORA, S.A. DE C.V. | 1 | 39.1 MXN | 33.6 % | 1.01 | 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=080.823.0312.03")
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=080.823.0312.03')
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=080.823.0312.03')