• File size measurements show the distribution of size of files.
• Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
• It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.

• There are 42 files with 52,196 lines of code.
• 22 very long files (40,691 lines of code)
• 11 long files (9,226 lines of code)
• 8 medium size files (2,187 lines of codeclsfd_ftr_w_mp_ins)
• 0 small files (0 lines of code)
• 1 very small files (92 lines of code)

There are 40 files with lines longer than 120 characters. In total, there are 594 long lines.

File	# lines	# units	# long lines
download.html in root	325	-	93
product.html in root	203	-	36
Kmeans-v3.ipynb in community-artifacts/Unsupervised-learning	1564	-	32
community.html in root	223	-	29
index.html in root	263	-	27
documentation.html in root	202	-	25
Pivot-demo-v3.ipynb in community-artifacts/Data-types-and-transformations	3630	-	24
Column-vector-operations-v1.ipynb in community-artifacts/Utilities	2553	-	24
PCA-project-v1.ipynb in community-artifacts/Unsupervised-learning	1381	-	22
Summary-v2.ipynb in community-artifacts/Statistics	1017	-	18
PCA-train-v1.ipynb in community-artifacts/Unsupervised-learning	991	-	18
Covariance-and-correlation-v1.ipynb in community-artifacts/Statistics	1318	-	16
MADlib-Keras-transfer-learning-v3.ipynb in community-artifacts/Deep-learning/Train-single-model	1717	-	15
Preprocessor-for-images-v2.ipynb in community-artifacts/Deep-learning/Model-preparation	1595	-	15
Elastic-net-v3.ipynb in community-artifacts/Supervised-learning	2049	-	13
Load-images-v1.ipynb in community-artifacts/Deep-learning/Utilities	977	-	12
Associaton-rules-v1.ipynb in community-artifacts/Unsupervised-learning	860	-	12
Linear-regression-v1.ipynb in community-artifacts/Supervised-learning	1166	-	12
Preprocessor-for-images-distribution-rules-v1.ipynb in community-artifacts/Deep-learning/Model-preparation	1966	-	11
Logistic-regression-v1.ipynb in community-artifacts/Supervised-learning	892	-	11
Term-frequency-v1.ipynb in community-artifacts/Utilities	1062	-	11
KNN-v6.ipynb in community-artifacts/Supervised-learning	1371	-	10
Balanced-sampling-v1.ipynb in community-artifacts/Sampling	3706	-	10
Path-demo-4.ipynb in community-artifacts/Data-types-and-transformations	1412	-	10
Cross_validation_v1.ipynb in community-artifacts/Model-selection	1130	-	10
Define-custom-functions-v1.ipynb in community-artifacts/Deep-learning/Model-preparation	531	-	8
Encoding-categorical-variables-v2.ipynb in community-artifacts/Data-types-and-transformations	4001	-	8
HITS-v1.ipynb in community-artifacts/Graph	1240	-	7
Multicolumn-v1.ipynb in community-artifacts/Graph	963	-	7
Weakly-connected-cpts-v2.ipynb in community-artifacts/Graph	908	-	7
xgboost-v1.ipynb in community-artifacts/Supervised-learning	232	-	6
APSP-v1.ipynb in community-artifacts/Graph	2004	-	6
Sessionize-demo-2.ipynb in community-artifacts/Data-types-and-transformations	615	-	6
Graph-measures-v1.ipynb in community-artifacts/Graph	2532	-	5
SSSP-v2.ipynb in community-artifacts/Graph	1090	-	4
Breadth-first-search-v1.ipynb in community-artifacts/Graph	1187	-	4
PageRank-v2.ipynb in community-artifacts/Graph	864	-	4
Stratified-sampling-v2.ipynb in community-artifacts/Sampling	672	-	3
master.js in root	92	13	2
Prediction-metrics-demo-1.ipynb in community-artifacts/Model-selection	343	-	1