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Description
AGAR BAIRD PARKER TA.
IMSS product code
080.610.1093.01
Each circle represents one of the 7 purchases of MEDIOS DE CULTIVO AGAR made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 5 | 3,445.8 MXN | 381.8 MXN | 12.6 % | 0.78 | 12 de febrero de 2015 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 1,044.6 MXN | 327.1 MXN | 45.6 % | 0.456 | 11 de noviembre de 2014 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 1,841.3 MXN | 254 MXN | 16 % | 0.64 | 7 de marzo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIAL QUIMICA DEL NOROESTE, S.A. DE C.V. | 1 | 327.1 MXN | 45.6 % | 0.456 | 2014 - 2014 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 60.7 MXN | 16 % | 0.16 | 2011 - 2011 |
| EIBL LABORATORIES, S.A. DE C.V. | 1 | 139.4 MXN | 15 % | 0.3 | 2009 - 2009 |
| PROVEEDORA CLINICA MEDICA, S. A. DE C. V. | 1 | 254 MXN | 16 % | 0.64 | 2013 - 2013 |
| Q.M.H. ABASTECEDORES, S. A. DE C. V. | 1 | 77.6 MXN | 16 % | 0.16 | 2010 - 2010 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 1 | - MXN | - | - | 2014 - 2014 |
| SUSTANCIAS QUIMICAS Y EMPAQUES, S.A. DE C.V. | 1 | 104 MXN | 16 % | 0.16 | 2015 - 2015 |
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=080.610.1093.01")
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=080.610.1093.01')
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=080.610.1093.01')