#!/usr/bin/python


"""
    starter code for the validation mini-project
    the first step toward building your POI identifier!

    start by loading/formatting the data

    after that, it's not our code anymore--it's yours!
"""

import pickle
import sys
sys.path.append("../tools/")
from feature_format import featureFormat, targetFeatureSplit

data_dict = pickle.load(open("../final_project/final_project_dataset.pkl", "r") )

### add more features to features_list!
features_list = ["poi", "salary"]

data = featureFormat(data_dict, features_list)
labels, features = targetFeatureSplit(data)



### it's all yours from here forward!  



#!/usr/bin/python


"""
    starter code for the validation mini-project
    the first step toward building your POI identifier!

    start by loading/formatting the data

    after that, it's not our code anymore--it's yours!
"""

import pickle
import sys
sys.path.append("../tools/")
from feature_format import featureFormat, targetFeatureSplit

data_dict = pickle.load(open("../final_project/final_project_dataset.pkl", "r") )

### first element is our labels, any added elements are predictor
### features. Keep this the same for the mini-project, but you'll
### have a different feature list when you do the final project.
features_list = ["poi", "salary"]

data = featureFormat(data_dict, features_list)
labels, features = targetFeatureSplit(data)



### it's all yours from here forward!  



Improve instructions for Lesson 13 mini-project.
Improve instructions for Lesson 13 mini-project.