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Classification
Material médico. Material de curacion
IMSS product code
060.899.2566.10
Each circle represents one of the 2 purchases of COMPRA EMERGENTE made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila | Coahuila | 1 | 90.5 MXN | 0.0000000000000142 MXN | 0.0000000000000157 % | 0.000000000000000182 | 31 de agosto de 2010 |
| Delegación Guanajuato | Guanajuato | 1 | 190.4 MXN | - MXN | - | - | 20 de marzo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| NEGRETE SAAVEDRA MYRIAM | 1 | 0.0000000000000142 MXN | 0.0000000000000157 % | 0.000000000000000182 | 2010 - 2010 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
Entity type
Material de curacion
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=060.899.2566.10")
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=060.899.2566.10')
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=060.899.2566.10')