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PISA Performance Scores Analysis
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PISA Performance Score Analysis/Dataset/OECD PISA data.csv
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PISA Performance Score Analysis/Images/Average Scores Over Time - PISAMATH.png
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PISA Performance Score Analysis/Images/Average Scores Over Time - PISAREAD.png
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PISA Performance Score Analysis/Images/Average Scores Over Time - PISASCIENCE.png
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...ore Analysis/Images/Box Plot of score Distribution by performance indicator.png
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...Images/Comparison of Performance Scores between OECD and Non-OECD Countries.png
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...erformance Score Analysis/Images/Educational_Performance_by_Gender_PISAMATH.png
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...erformance Score Analysis/Images/Educational_Performance_by_Gender_PISAREAD.png
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...ormance Score Analysis/Images/Educational_Performance_by_Gender_PISASCIENCE.png
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... Performance Score Analysis/Images/Histogram of PISAMATH performance scores.png
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... Performance Score Analysis/Images/Histogram of PISAREAD performance scores.png
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...rformance Score Analysis/Images/Histogram of PISASCIENCE performance scores.png
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PISA Performance Score Analysis/Images/Time-based_Trends_PISASCIENCE.png
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...nalysis/Images/gender based score comparison in OECD and Non-OECD countries.png
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PISA Performance Score Analysis/Images/pair plot of performance indicators.png
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PISA Performance Score Analysis/Model/PISA Perfromance Score Analysis.ipynb
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<h1>PISA Performance Scores Analysis</h1> | ||
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**GOAL** | ||
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To analyze the 'PISA Performance Scores by country' Dataset using Exploratory Data analysis. | ||
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**DATASET** | ||
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https://www.kaggle.com/datasets/thedevastator/pisa-performance-scores-by-country | ||
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**DESCRIPTION** | ||
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TThe OECD PISA dataset provides performance scores for 15-year-old students in reading, mathematics, and science across OECD countries. The dataset covers the years 2000 to 2018. | ||
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These performance scores are measured using the Programme for International Student Assessment (PISA), which evaluates students' abilities to apply their knowledge and skills in reading, mathematics, and science to real-life challenges. | ||
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The dataset includes information on the performance scores categorized by location (country alpha‑3 codes), indicator (reading, mathematical, or scientific performance), subject (boys/girls/total), and time of measurement (year). The mean score for each combination of these variables is provided in the Value column. | ||
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The dataset contains the following columns: | ||
- Locations (country alpha-3 codes) | ||
- Indicator (PISAREAD, PISAMATH, PISASCIENCE) | ||
- Subject (Boys, Girls, Total) | ||
- Time (the year which performance scores were measured[values between 2000 to 2018]) | ||
- Value (The mean score of performance indicator) | ||
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**WHAT I HAD DONE** | ||
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* Checked for missing values and cleaned the data accordingly | ||
* Analyzed the data, found insights and visualized them accordingly. | ||
* Found detailed insights of different columns with one another using plotting libraries. | ||
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**LIBRARIES NEEDED** | ||
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1. Pandas | ||
2. Matplotlib | ||
3. Seaborn | ||
4. Plotly | ||
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**VISUALIZATION** | ||
![Time-based_Trends_PISAMATH](../Images/Time-based_Trends_PISAMATH.png) | ||
![Time-based_Trends_PISAREAD](../Images/Time-based_Trends_PISAREAD.png) | ||
![Time-based_Trends_PISASCIENCE](../Images/Time-based_Trends_PISASCIENCE.png) | ||
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![Educational_Performance_by_Gender_PISAMATH](../Images/Educational_Performance_by_Gender_PISAMATH.png) | ||
![Educational_Performance_by_Gender_PISAREAD](../Images/Educational_Performance_by_Gender_PISAREAD.png) | ||
![Educational_Performance_by_Gender_PISASCIENCE](../Images/Educational_Performance_by_Gender_PISASCIENCE.png) | ||
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![comparison with benchmark](<../Images/comparison with benchmark.png>) | ||
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![Comparison of Performance Scores between OECD and Non-OECD Countries](<../Images/Comparison of Performance Scores between OECD and Non-OECD Countries.png>) | ||
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![Histogram of PISAMATH performance scores](<../Images/Histogram of PISAMATH performance scores.png>) | ||
![Histogram of PISAREAD performance scores](<../Images/Histogram of PISAREAD performance scores.png>) | ||
![Histogram of PISASCIENCE performance scores](<../Images/Histogram of PISASCIENCE performance scores.png>) | ||
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![gender based score comparison in OECD and Non-OECD countries](<../Images/gender based score comparison in OECD and Non-OECD countries.png>) | ||
For more plots checkout the .ipynb file :) | ||
<br> | ||
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<br> | ||
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**CONCLUSION** | ||
- OECD countries have better mean scores in all three indicators as compared to Non-OECD countries. | ||
- Girls have outperformed boys in PISAREAD by a greater margin than boys have outperformed girls in PISAMATHS. | ||
- Both boys and girls have approximately equal scores in PISASCIENCE over the years. | ||
- The same trend in gender was observed both in OECD and Non-OECD countries. | ||
- Comparison against benchmark (OAVG) shows that most countries have performed nicely in PISAREAD and badly in PISAMATH and PISASCIENCE. | ||
- Average scores for countries have reamined save over years in all the three indicators. | ||
- KOR and FIN have performed most well in PISAREAD | ||
- KOR and JPN have performed greatly in PISAMATH over the years. | ||
- FIN and SGP have taken lead in PISASCIENC scores. | ||
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**AUTHOR** | ||
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- Code contributed by *Mariam* @ #JWoC_2024 | ||
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[![LinkedIn](https://img.shields.io/badge/linkedin-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/mariam-m7084) [![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)](https://github.com/mariam7084/) |