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Classification
Material médico. Material de curacion
IMSS product code
060.725.6641.11
Each circle represents one of the 3 purchases of COMPRA EMERGENTE made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa | Sinaloa | 2 | 13,224 MXN | 6,162 MXN | 87.3 % | 2.02 | 23 de junio de 2010 |
| Delegación Oaxaca | Oaxaca | 1 | 900 MXN | - MXN | - | - | 2 de julio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CASTRO LOAIZA VERONICA GUADALUPE | 1 | 1,828.2 MXN | 51.8 % | 0.601 | 2010 - 2010 |
| LOPEZ CERVANTES MARIA DEL SOCORRO | 1 | - MXN | - | - | 2010 - 2010 |
| PUENTE SANCHEZ MALAQUIAS | 1 | 4,333.8 MXN | 122.7 % | 1.42 | 2010 - 2010 |
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=060.725.6641.11")
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=060.725.6641.11')
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=060.725.6641.11')