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.
Load the tips_data.csv
and store its data in a tips_df
variable.
Create your pie chart and, when ready, save it to a tips_by_smokers_chart
variable and validate it with the following button.
Your code should look like:
smokers_count = tips_df['smoker'].......
tips_by_smokers_chart = smokers_count.plot(.......
Important! we'll interactively check that your variables
smokers_count
andtips_by_smokers_chart
contain the correct information
Create your pie chart and, when ready, save it to a sex_proportion_chart
variable and validate it with the following button.
Your code should look like:
tips_by_sex_count = tips_df.......
sex_proportion_chart = tips_by_sex_count.plot(.......
Important! we'll interactively check that your variables
tips_by_sex_count
andsex_proportion_chart
contain the correct information
Create your stacked bar chart and, when ready, save it to a tips_by_sex_chart
variable and validate it with the following button.
Your code should look like:
tip_amount_by_sex = tips_df.......
tips_by_sex_chart = tip_amount_by_sex.plot(.......
Important! we'll interactively check that your variables
tip_amount_by_sex
andtips_by_sex_chart
contain the correct information
Create your pie chart and, when ready, save it to a daily_tips_chart
variable and validate it with the following button.
Your code should look like:
daily_tips = tips_df.......
daily_tips_chart = daily_tips.plot(.......
Important! we'll interactively check that your variables
daily_tips
anddaily_tips_chart
contain the correct information
Create your stacked bar chart and, when ready, save it to a tips_by_day_chart
variable and validate it with the following button.
Your code should look like:
daily_mean = tips_df.......
tips_by_day_chart = daily_mean.plot(.......
Important! we'll interactively check that your variables
daily_mean
andtips_by_day_chart
contain the correct information
Create your stacked bar chart and, when ready, save it to a dinner_lunch_chart
variable and validate it with the following button.
Your code should look like:
dinner_lunch_df = tips_df.......
dinner_lunch_chart = dinner_lunch_df.plot(.......
Important! we'll interactively check that your variables
dinner_lunch_df
anddinner_lunch_chart
contain the correct information