aws-samples / analyzing-reddit-sentiment-with-aws
Learn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.
Summary
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| Main Code: 367 LOC (3 files) = YML (79%) + PY (20%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 367 LOC (4); |
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| File Size: 0% long (>1000 LOC), 39% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 100% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 100% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (2 components) | ||
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2 years, 3 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2020-06-26
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