All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.
All our activities include solutions with explanations on how they work and why we chose them.
Store the resulting series in the variable no_accidents_per_severity.
Store the resulting dataframe in the variable severity_weather_no_of_accidents.
You should fill NaN values with 0.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable average_temp_severity_wind.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable max_wind_speed_per_state.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable min_humidity_pressure_visibility_city_traffic.
You should fill NaN values with 0 and name the margins with Min. of All.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable avg_distance_wind_county_sunrise_source.
You should fill NaN values with 0.
Your result should look similar to this dataframe:
Store the resulting crosstab in the variable median_visibility_weather_twilight_cross_tab.
You should fill NaN values with 0.
Your result should look similar to this crosstab:
Store the resulting crosstab in the variable top_cities_crosstab.
Your result should look similar to this crosstab:
Store the resulting crosstab in the variable average_visibility_weather_wind_crosstab.
Your result should look similar to this crosstab:
What's up, friends! 👋 I'm a computer science student about to finish my last year of college. 🎓 I LOVE writing code! ❤️ It makes me so happy! 😄 Whether I'm goofing in notebooks 📓 or coding in Python 🐍, writing programs is a blast! 💥
