Science Score: 31.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic links in README
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.3%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: DariiaIvakh
- Language: Python
- Default Branch: main
- Size: 692 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Citation
Owner
- Login: DariiaIvakh
- Kind: user
- Repositories: 1
- Profile: https://github.com/DariiaIvakh
Citation (Citations.py)
"""
Name: Dariia Ivakhnenkova
CS230: Section 6
Data: Boston Crime 2023
Description:
This Program analyzes crime data in Boston for the year 2023, providing interactive visualizations and insights.
It includes features such as filtering crime trends based on selected months, exploring top crime locations, visualizing crime distribution on a map,
and displaying detailed information about specific incidents. The application has various charts, plots, and interactive components to enhance user
engagement and understanding of the dataset.
"""
import streamlit as st
st.write("https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html")
st.write("https://docs.streamlit.io/library/api-reference/status/st.error")
st.write("https://docs.streamlit.io/library/api-reference/layout/st.tabs")
st.write("https://docs.streamlit.io/library/api-reference/charts/st.scatter_chart")
st.write("https://discuss.streamlit.io/t/a-dashboard-based-on-streamlit-and-echarts/15142")
st.write("https://seaborn.pydata.org/examples/histogram_stacked.html")
st.write("https://www.w3schools.com/python/pandas/ref_df_nlargest.asp")
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Dependencies
requirements.txt
pypi