<jupyter_start><jupyter_text>Apart from darkgrid there are other styles that you can use like:- darkgrid whitegrid dark white ticks<jupyter_code>sns.set_style('darkgrid')
df = pd.read_csv('data.csv')<jupyter_output><empty_output><jupyter_text>sns.scatterplot()<jupyter_code>df.head()
plt.figure(figsize = (10,6))  # for figure size, Hue for differencing between variables
sns.scatterplot(x = df['Primary_Only'], y = df['HrSec_Only'], hue = df["year"], alpha = 0.8) # alpha for visibility of plots 
plt.show()<jupyter_output><empty_output><jupyter_text>sns.countplot()<jupyter_code>plt.figure(figsize = (9,6))
sns.countplot(x = "year", data = df)
plt.show()<jupyter_output><empty_output><jupyter_text>sns.distplot()<jupyter_code>plt.figure(figsize = (9,6))
sns.distplot(df['Primary_Only'], kde = False)
plt.show()<jupyter_output><empty_output><jupyter_text>sns.kdeplot()<jupyter_code>plt.figure(figsize = (9,6))
sns.kdeplot(df['Primary_Only'])
plt.show()<jupyter_output><empty_output><jupyter_text>sns.regplot()<jupyter_code>plt.figure(figsize = (9,6))
sns.regplot(x = df['Primary_Only'], 
            y = df['Sec_with_HrSec.'],
            scatter_kws = {'color':'pink'},
            line_kws = {'color':'black'}
)<jupyter_output><empty_output><jupyter_text>sns.lmplot()<jupyter_code>plt.figure(figsize = (9,6))
sns.lmplot(x = 'Primary_Only', 
           y = 'Sec_with_HrSec.',
           hue = 'year',
           data = df
)<jupyter_output><empty_output><jupyter_text>sns.pairplot()<jupyter_code>sns.pairplot(df[['Primary_Only', 'Sec_with_HrSec.', 'U_Primary_With_Sec']])<jupyter_output><empty_output><jupyter_text>sns.jointplot()<jupyter_code>sns.jointplot(x = 'Primary_Only', 
              y = 'Sec_with_HrSec.',
              data = df
             
)
plt.show()<jupyter_output><empty_output><jupyter_text>sns.boxplot()<jupyter_code>sns.boxplot(x = 'Primary_Only', 
            data = df
)
plt.show()
plt.figure(figsize = (25,6))
sns.boxplot(data = df)
plt.show()<jupyter_output><empty_output><jupyter_text>sns.swarmplot()<jupyter_code>plt.figure(figsize = (20,8))
sns.swarmplot(x = 'Primary_Only',
              y = 'U_Primary_Only', 
              data = df,
              alpha = 0.8
)
plt.show()<jupyter_output><empty_output><jupyter_text>sns.heatmap()<jupyter_code>sns.heatmap(df.corr(),
            annot = True,
            cmap = 'inferno')
plt.show()<jupyter_output><empty_output><jupyter_text>Color Pallete<jupyter_code>plt.figure(figsize = (20,8))
colors = [
           '#F8D030',
           '#E0C068',
           '#EE99AC',
           '#C03028',
           '#F85888'
]
sns.stripplot(x = 'State_UT',
              data = df,
              palette = colors
)
plt.show()<jupyter_output><empty_output>
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