diff --git a/CHANGELOG.md b/CHANGELOG.md
index 67eb997a8..87b9c6e81 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -31,7 +31,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Update `CONTRIBUTING.md` with scenarios of documentation updates and release instruction ([#77](https://github.com/etna-team/etna/pull/77))
 
 ### Fixed
--
+- Fix `ResampleWithDistributionTransform` working with categorical columns ([#82](https://github.com/etna-team/etna/pull/82))
 -
 - Fix links from tinkoff-ai/etna to etna-team/etna ([#47](https://github.com/etna-team/etna/pull/47))
 - 
diff --git a/etna/transforms/missing_values/resample.py b/etna/transforms/missing_values/resample.py
index 4a75d6648..b3d4ff390 100644
--- a/etna/transforms/missing_values/resample.py
+++ b/etna/transforms/missing_values/resample.py
@@ -96,6 +96,7 @@ def transform(self, df: pd.DataFrame) -> pd.DataFrame:
         :
             result dataframe
         """
+        df = df.apply(pd.to_numeric)
         df["fold"] = self._get_folds(df)
         df = df.reset_index().merge(self.distribution, on="fold").set_index("timestamp").sort_index()
         df[self.out_column] = df[self.in_column].ffill() * df["distribution"]
diff --git a/tests/test_transforms/test_missing_values/test_resample_transform.py b/tests/test_transforms/test_missing_values/test_resample_transform.py
index 6d294a479..4cab73c05 100644
--- a/tests/test_transforms/test_missing_values/test_resample_transform.py
+++ b/tests/test_transforms/test_missing_values/test_resample_transform.py
@@ -1,6 +1,7 @@
 import pytest
 
-from etna.transforms.missing_values import ResampleWithDistributionTransform
+from etna.transforms import HolidayTransform
+from etna.transforms import ResampleWithDistributionTransform
 from tests.test_transforms.utils import assert_transformation_equals_loaded_original
 
 
@@ -132,3 +133,10 @@ def test_get_regressors_info_not_fitted():
 def test_params_to_tune():
     transform = ResampleWithDistributionTransform(in_column="regressor_exog", distribution_column="target")
     assert len(transform.params_to_tune()) == 0
+
+
+def test_working_with_categorical_columns(example_tsds):
+    holiday = HolidayTransform(out_column="holiday_regressor")
+    resample = ResampleWithDistributionTransform(distribution_column="target", in_column="holiday_regressor")
+    holiday.fit_transform(example_tsds)
+    resample.fit_transform(example_tsds)