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Description
AMONIACO AL 25% RA TA.
IMSS product code
080.829.2353.01
Each circle represents one of the 10 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 7 | 4,234.1 MXN | 549.4 MXN | 11.4 % | 6.4 | 1 de febrero de 2018 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 2 | 10,310 MXN | 4,346.7 MXN | 181 % | 21.7 | 28 de noviembre de 2011 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 348 MXN | - MXN | - | - | 1 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 2 | 304.7 MXN | 16 % | 2.24 | 2015 - 2016 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 2 | 4,346.7 MXN | 181 % | 21.7 | 2009 - 2011 |
| CODEMED, S.A. DE C.V. | 1 | 65.6 MXN | 16 % | 1.92 | 2018 - 2018 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| EIBL LABORATORIES, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| FCD LABS, S.A. DE C.V. | 1 | 8 MXN | 16 % | 0.32 | 2013 - 2013 |
| IMPULSORA MEDICA, S. A. DE C. V. | 1 | - MXN | - | - | 2011 - 2011 |
| ODICALP, S.A. DE C.V. | 1 | 171.1 MXN | 16 % | 1.92 | 2017 - 2017 |
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=080.829.2353.01")
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=080.829.2353.01')
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=080.829.2353.01')