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- [x] Find ranges of all feature
- [x] Find all features missing values
- [x] Add temporal data for time
- [x] Trend analysis,
- [x] Seasonality analysis,
- [x] Cyclicity Analysis,
- [x] Auto…
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Would a spatial data analysis be better? Jeff please do task 2.
- [ ] Exploratory spatial data analysis
- [ ] Spatial model
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- [ ] Data Familiarization
- [ ] Summary Statistics
- [ ] Univariate Analysis
- [ ] Bivariate Analysis
- [ ] Multivariate Analysis
- [ ] Visualization
- [ ] Data Transformation
- [ ] Handling M…
EJmpa updated
6 months ago
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@Gerpap24 , please:
- [ ] Import kdd census output02.xlsx, with field labels from [**kdd census field mapping.xlsx**](https://github.com/Cirrolytix/gerry_mentorship/blob/main/data/kdd%20census%20fi…
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- Data visualisation: Matplotlib, Seaborn, Plotly, or Tableau
- Statistical analysis: Python libraries (e.g., NumPy, SciPy, StatsModels) or R
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- [ ] Create a notebook in the environment
- [ ] Come with interesting visualizations and queries to answer the following questions:
- [ ] What are the most and least popular cards in standard?
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Analyze a dataset to find patterns, trends, and outliers to derive
meaningful insights.
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We surely need an EDA for this data. It is always recommended to do EDA whenever make a ML model to properly check insite of data.
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