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Description
EQUIPO DE TRANSFUSION EN "Y"PARA HEMOFERESIS ESTERIL YDESECHABLE.
IMSS product code
060.345.1535.10
Each circle represents one of the 6 purchases of EQUIPO made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 2 | 20,496.5 MXN | 10,446.8 MXN | 76 % | 11 | 27 de julio de 2010 |
| Delegación Jalisco | Jalisco | 1 | 94 MXN | - MXN | - | - | 20 de febrero de 2009 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 1,739.3 MXN | - MXN | - | - | 17 de abril de 2009 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 403.7 MXN | 55.7 MXN | 16 % | 4.64 | 11 de julio de 2011 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 78,244.8 MXN | 45,080.9 MXN | 135.9 % | 48.9 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| HUMANA DE EQUIPO Y MATERIALES, S.A. DE C.V. | 2 | 55,098.8 MXN | 135.9 % | 59.8 | 2009 - 2009 |
| CASTRO ECHEVARRIA HILDA DEL ROSARIO | 1 | 428.8 MXN | 16 % | 0.16 | 2010 - 2010 |
| COSMO MEDICA, S.A. DE C.V. | 1 | 55.7 MXN | 16 % | 4.64 | 2011 - 2011 |
| GALLARDO FLORES CAMILO | 1 | - MXN | - | - | 2009 - 2009 |
| OPERADORA CORNERSTONE, S.A. DE C.V. | 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=060.345.1535.10")
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=060.345.1535.10')
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=060.345.1535.10')