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Description
PINZA DE SUJECION CLAYMAN MC PEARSON, ANGULADA PARA LENTE INTRAOCULAR.
IMSS product code
537.702.2024.01
Each circle represents one of the 6 purchases of PINZAS made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 1,684.3 MXN | 472.4 MXN | 39 % | 0.39 | 9 de noviembre de 2010 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 28,142.8 MXN | 3,670.8 MXN | 15 % | 0.6 | 30 de junio de 2009 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 3,939 MXN | 303.2 MXN | 8.34 % | 0.25 | 13 de septiembre de 2010 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 14,203 MXN | 481 MXN | 3.51 % | 0.175 | 6 de agosto de 2015 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 4,216.6 MXN | 581.6 MXN | 16 % | 0.16 | 25 de octubre de 2017 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 17,632 MXN | 3,910 MXN | 28.5 % | 1.42 | 24 de noviembre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIMARLAB SA DE CV | 1 | 3,910 MXN | 28.5 % | 1.42 | 2015 - 2015 |
| GOODS AND SERVICES DE MEXICO, S.A. DE C.V. | 1 | 3,670.8 MXN | 15 % | 0.6 | 2009 - 2009 |
| HEMOST, S. A. DE C. V. | 1 | 481 MXN | 3.51 % | 0.175 | 2015 - 2015 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 581.6 MXN | 16 % | 0.16 | 2017 - 2017 |
| IQUEO, S.A. DE C.V. | 1 | 303.2 MXN | 8.34 % | 0.25 | 2010 - 2010 |
| OFTALMICA INTERNACIONAL | 1 | 472.4 MXN | 39 % | 0.39 | 2010 - 2010 |
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=537.702.2024.01")
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=537.702.2024.01')
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=537.702.2024.01')