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Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
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NBA Draft Data Analysis (1989–2021)
Project Overview
In this project, I analyzed NBA Draft data from 1989 to 2021.
The main goal was to understand what makes a player a Top 10 draft pick,
and whether those players are really better than the rest.
Descriptive Statistics
I examined several numeric features such as:
- Points per game
- Total games played
- Win shares (a measure of how much a player contributes to team wins)
I also found positive correlations, for example:
players who score more points usually also have higher win share values.
Research Questions and Visualizations
Question 1:
Do Top 10 players score more points per game?
Answer:
Yes. On average, Top 10 players score more points per game.
Teams tend to pick strong scorers early in the draft.
Question 2:
Do Top 10 players play more games in their careers?
Answer:
Yes. Top 10 players tend to play more games,
which means they usually have longer and more stable NBA careers.
Question 3:
Do Top 10 players contribute more to team wins?
Answer:
Yes. Top 10 players have higher win share values,
showing that they contribute more to their teams' success.
Key Insights
- Top 10 draft picks usually score more, play more games, and help their teams win more.
- Early draft selections generally reflect players with higher potential and stronger performance.
- The data supports that NBA teams make good choices with early draft picks.
Video Presentation
A short 2–3 minute video summarizing my process and results.
You can watch my project video here:
https://drive.google.com/file/d/12HdRepic0bQ9N9cm5kuv-K26vddeJoFC/view?usp=sharing
Summary
Top 10 NBA draft picks are usually better players across all main stats:
they score more, play longer, and contribute more to team wins.
The analysis confirms that early draft selections are often the most successful players.
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