refactor: fix typos

edvart/data_types.py

@@ -85,7 +85,7 @@ def is_numeric(series: pd.Series) -> bool:
     """
     if is_missing(series):
         return False
-    # When an unkown dtype is encountered, `np.issubdtype(series.dtype, np.number)`
+    # When an unknown dtype is encountered, `np.issubdtype(series.dtype, np.number)`
     # raises a TypeError. This happens for example if `series` is `pd.Categorical`
     # If the dtype is unknown, we treat it as non-numeric, therefore return False.
     try:

edvart/report.py

@@ -105,7 +105,7 @@ def _generate_notebook(
         dataset_name : str (default = "[INSERT DATASET NAME]")
             Name of dataset to be used in the title of the report.
         dataset_description : str (default = "[INSERT DATASET DESCRIPTION]")
-            Descritpion of dataset to be used below the title of the report.
+            Description of dataset to be used below the title of the report.
         load_df : str (default = 'df = ...')
             Code string for loading a dataset to variable `df`.
         extra_imports : List[str], optional
@@ -617,7 +617,7 @@ class DefaultReport(Report):
         Verbosity of the overview section
     verbosity_univariate_analysis : Verbosity, optional
         Verbosity of the univariate analysis section
-    verbosity_bivariate_analysis : Verbosity, optiona
+    verbosity_bivariate_analysis : Verbosity, optional
         Verbosity of the bivariate analysis section.
     verbosity_multivariate_analysis: Verbosity, optional
         Verbosity of the multivariate analysis section
@@ -833,10 +833,10 @@ class DefaultTimeseriesReport(TimeseriesReport):
     sampling_rate : int, optional
         Sampling rate for Fourier transform and Short-time Fourier transform subsections. Determines
         frequency unit for analysis of frequencies, for example with monthly data and sampling rate
-        12, yearly frequncy spectrum is produced.
+        12, yearly frequency spectrum is produced.
         If not set, these two sections will not be included.
     stft_window_size : int, optional
-        Windows size for short-time Fourier transform subsection. If not set, STFT will be exluded.
+        Windows size for short-time Fourier transform subsection. If not set, STFT will be excluded.
     """
 
     def __init__(

edvart/report_sections/bivariate_analysis.py

@@ -992,7 +992,7 @@ def contingency_table(
     ax.set_xlabel(ax.get_xlabel(), fontsize=fontsize)
     ax.xaxis.set_label_position("top")
 
-    # Viusally separate the margins
+    # Visually separate the margins
     if include_total:
         ax.vlines(len(table.columns) - 1, ymin=0, ymax=len(table), color="grey")
         ax.hlines(len(table) - 1, xmin=0, xmax=len(table.columns), color="grey")

edvart/report_sections/dataset_overview.py

@@ -29,7 +29,7 @@ class Overview(ReportSection):
     Parameters
     ----------
     subsections : List[OverviewSubsection], optional
-        List of subsections to inlcude into the Overview section.
+        List of subsections to include into the Overview section.
         All subsections in OverviewSubsection are used by default.
     verbosity : Verbosity
         Generated code verbosity global to the Overview sections
@@ -925,7 +925,7 @@ def missing_value_row_count(df: pd.DataFrame, columns: Optional[List[str]] = Non
     Parameters
     ----------
     df : pd.DataFrame
-        Dataframe for which to counnt missing value rows.
+        Dataframe for which to count missing value rows.
     columns : Optional[List[str]], optional
         List of columns to consider when counting. If None, all columns are used.
     """
@@ -1029,7 +1029,7 @@ def duplicate_row_count(df: pd.DataFrame, columns: Optional[List[str]] = None) -
     Parameters
     ----------
     df : pd.DataFrame
-        Dataframe for which to counnt missing value rows.
+        Dataframe for which to count missing value rows.
     columns : Optional[List[str]], optional
         List of columns to consider when counting. If None, all columns are used.
     """

edvart/report_sections/group_analysis.py

@@ -527,7 +527,7 @@ def group_barplot(
         Maximum number of unique values in column to plot. If the number of unique values
         is higher, a warning will be issued and plot will not be shown.
     conditional_probability : bool (default = True)
-        If True, conditional probability contitioned on group will be displayed,
+        If True, conditional probability conditioned on group will be displayed,
         otherwise conditional frequency will be displayed.
     xaxis_tickangle : float (default = 0)
         Rotation angle of ticks on the x axis.

edvart/report_sections/multivariate_analysis.py

@@ -228,7 +228,7 @@ def show_multivariate_analysis(
         All numeric columns are used by default.
     color_col : str, optional
         Name of the column according to which to color points in the sections.
-        Both numberic and categorical columns are supported.
+        Both numeric and categorical columns are supported.
     """
     if columns is not None:
         df = df[columns]

edvart/report_sections/timeseries_analysis/rolling_statistics.py

@@ -135,7 +135,7 @@ def show_rolling_statistics(
         Multiple of standard deviation from mean to show bands at.
         Ignored if not showing bands.
     show_std_dev : bool (default = True)
-        Whether to plot rolling standard devation.
+        Whether to plot rolling standard deviation.
     color_mean : str (default = "#2040FF")
         Color of the line showing rolling mean.
     color_band : str (default = "#90E0FF")