fix: typo for home value forecasts
Browse files
processed/home_values_forecasts/final2.jsonl
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:362f909b077ef5da2fb09b1339eb5641d1746435c06bedc2affc70743f13fd3b
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size 13942709
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processors/home_value_forecasts.ipynb
CHANGED
@@ -71,9 +71,9 @@
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" <th>Metro</th>\n",
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" <th>CountyName</th>\n",
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" <th>BaseDate</th>\n",
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-
" <th>Month Over Month % (Smoothed) (
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-
" <th>Quarter Over Quarter % (Smoothed) (
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-
" <th>Year Over Year % (Smoothed) (
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" <th>Month Over Month %</th>\n",
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" <th>Quarter Over Quarter %</th>\n",
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" <th>Year Over Year %</th>\n",
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@@ -321,7 +321,7 @@
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"31852 Washington-Arlington-Alexandria, DC-VA-MD-WV Arlington County \n",
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"31853 North Port-Sarasota-Bradenton, FL Sarasota County \n",
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"\n",
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-
" BaseDate Month Over Month % (Smoothed) (
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"0 2023-12-31 NaN \n",
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"1 2023-12-31 NaN \n",
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"2 2023-12-31 0.4 \n",
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@@ -334,7 +334,7 @@
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"31852 2023-12-31 NaN \n",
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"31853 2023-12-31 NaN \n",
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"\n",
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337 |
-
" Quarter Over Quarter % (Smoothed) (
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"0 NaN \n",
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"1 NaN \n",
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"2 0.9 \n",
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@@ -347,7 +347,7 @@
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"31852 NaN \n",
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"31853 NaN \n",
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"\n",
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-
" Year Over Year % (Smoothed) (
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"0 NaN -0.7 \n",
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"1 NaN -0.7 \n",
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"2 3.2 -0.6 \n",
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@@ -393,7 +393,7 @@
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" if filename.endswith(\"sm_sa_month.csv\"):\n",
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" # print('Smoothed')\n",
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" cur_df.columns = list(cur_df.columns[:-3]) + [\n",
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-
" x + \" (Smoothed) (
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" ]\n",
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" else:\n",
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" # print('Raw')\n",
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@@ -452,9 +452,9 @@
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" <th>Metro</th>\n",
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" <th>County</th>\n",
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" <th>Date</th>\n",
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-
" <th>Month Over Month % (Smoothed) (
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456 |
-
" <th>Quarter Over Quarter % (Smoothed) (
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457 |
-
" <th>Year Over Year % (Smoothed) (
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" <th>Month Over Month %</th>\n",
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" <th>Quarter Over Quarter %</th>\n",
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" <th>Year Over Year %</th>\n",
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@@ -691,7 +691,7 @@
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"31852 Washington-Arlington-Alexandria, DC-VA-MD-WV Arlington County \n",
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"31853 North Port-Sarasota-Bradenton, FL Sarasota County \n",
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"\n",
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-
" Date Month Over Month % (Smoothed) (
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"0 2023-12-31 NaN \n",
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"1 2023-12-31 NaN \n",
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"2 2023-12-31 0.4 \n",
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@@ -704,7 +704,7 @@
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"31852 2023-12-31 NaN \n",
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"31853 2023-12-31 NaN \n",
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"\n",
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707 |
-
" Quarter Over Quarter % (Smoothed) (
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"0 NaN \n",
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709 |
"1 NaN \n",
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710 |
"2 0.9 \n",
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@@ -717,7 +717,7 @@
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717 |
"31852 NaN \n",
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"31853 NaN \n",
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"\n",
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-
" Year Over Year % (Smoothed) (
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"0 NaN -0.7 \n",
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"1 NaN -0.7 \n",
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"2 3.2 -0.6 \n",
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" <th>Metro</th>\n",
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" <th>CountyName</th>\n",
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" <th>BaseDate</th>\n",
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+
" <th>Month Over Month % (Smoothed) (Seasonally Adjusted)</th>\n",
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+
" <th>Quarter Over Quarter % (Smoothed) (Seasonally Adjusted)</th>\n",
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+
" <th>Year Over Year % (Smoothed) (Seasonally Adjusted)</th>\n",
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" <th>Month Over Month %</th>\n",
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" <th>Quarter Over Quarter %</th>\n",
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" <th>Year Over Year %</th>\n",
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"31852 Washington-Arlington-Alexandria, DC-VA-MD-WV Arlington County \n",
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"31853 North Port-Sarasota-Bradenton, FL Sarasota County \n",
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"\n",
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+
" BaseDate Month Over Month % (Smoothed) (Seasonally Adjusted) \\\n",
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"0 2023-12-31 NaN \n",
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"1 2023-12-31 NaN \n",
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"2 2023-12-31 0.4 \n",
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334 |
"31852 2023-12-31 NaN \n",
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"31853 2023-12-31 NaN \n",
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"\n",
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+
" Quarter Over Quarter % (Smoothed) (Seasonally Adjusted) \\\n",
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"0 NaN \n",
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"1 NaN \n",
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"2 0.9 \n",
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"31852 NaN \n",
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"31853 NaN \n",
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"\n",
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+
" Year Over Year % (Smoothed) (Seasonally Adjusted) Month Over Month % \\\n",
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"0 NaN -0.7 \n",
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"1 NaN -0.7 \n",
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"2 3.2 -0.6 \n",
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" if filename.endswith(\"sm_sa_month.csv\"):\n",
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" # print('Smoothed')\n",
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" cur_df.columns = list(cur_df.columns[:-3]) + [\n",
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+
" x + \" (Smoothed) (Seasonally Adjusted)\" for x in cols\n",
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" ]\n",
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" else:\n",
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" # print('Raw')\n",
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" <th>Metro</th>\n",
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" <th>County</th>\n",
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" <th>Date</th>\n",
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455 |
+
" <th>Month Over Month % (Smoothed) (Seasonally Adjusted)</th>\n",
|
456 |
+
" <th>Quarter Over Quarter % (Smoothed) (Seasonally Adjusted)</th>\n",
|
457 |
+
" <th>Year Over Year % (Smoothed) (Seasonally Adjusted)</th>\n",
|
458 |
" <th>Month Over Month %</th>\n",
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459 |
" <th>Quarter Over Quarter %</th>\n",
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460 |
" <th>Year Over Year %</th>\n",
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691 |
"31852 Washington-Arlington-Alexandria, DC-VA-MD-WV Arlington County \n",
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692 |
"31853 North Port-Sarasota-Bradenton, FL Sarasota County \n",
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693 |
"\n",
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694 |
+
" Date Month Over Month % (Smoothed) (Seasonally Adjusted) \\\n",
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695 |
"0 2023-12-31 NaN \n",
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696 |
"1 2023-12-31 NaN \n",
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697 |
"2 2023-12-31 0.4 \n",
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"31852 2023-12-31 NaN \n",
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705 |
"31853 2023-12-31 NaN \n",
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"\n",
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+
" Quarter Over Quarter % (Smoothed) (Seasonally Adjusted) \\\n",
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708 |
"0 NaN \n",
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709 |
"1 NaN \n",
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710 |
"2 0.9 \n",
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717 |
"31852 NaN \n",
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718 |
"31853 NaN \n",
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719 |
"\n",
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720 |
+
" Year Over Year % (Smoothed) (Seasonally Adjusted) Month Over Month % \\\n",
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721 |
"0 NaN -0.7 \n",
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722 |
"1 NaN -0.7 \n",
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723 |
"2 3.2 -0.6 \n",
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processors/home_value_forecasts.py
CHANGED
@@ -34,7 +34,7 @@ for filename in os.listdir(FULL_DATA_DIR_PATH):
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if filename.endswith("sm_sa_month.csv"):
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# print('Smoothed')
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cur_df.columns = list(cur_df.columns[:-3]) + [
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-
x + " (Smoothed) (
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]
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else:
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# print('Raw')
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@@ -93,4 +93,3 @@ final_df
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save_final_df_as_jsonl(FULL_PROCESSED_DIR_PATH, final_df)
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-
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if filename.endswith("sm_sa_month.csv"):
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# print('Smoothed')
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cur_df.columns = list(cur_df.columns[:-3]) + [
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x + " (Smoothed) (Seasonally Adjusted)" for x in cols
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]
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else:
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# print('Raw')
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save_final_df_as_jsonl(FULL_PROCESSED_DIR_PATH, final_df)
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zillow.py
CHANGED
@@ -94,22 +94,22 @@ class Zillow(datasets.GeneratorBasedBuilder):
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"Metro": datasets.Value(dtype="string", id="Metro"),
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"County": datasets.Value(dtype="string", id="County"),
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"Date": datasets.Value(dtype="string", id="Date"),
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-
"Month Over Month % (Smoothed)": datasets.Value(
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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-
"Quarter Over Quarter % (Smoothed)": datasets.Value(
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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-
"Year Over Year % (Smoothed)": datasets.Value(
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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-
"Month Over Month %
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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-
"Quarter Over Quarter %
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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-
"Year Over Year %
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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}
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"Metro": datasets.Value(dtype="string", id="Metro"),
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"County": datasets.Value(dtype="string", id="County"),
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"Date": datasets.Value(dtype="string", id="Date"),
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+
"Month Over Month % (Smoothed) (Seasonally Adjusted)": datasets.Value(
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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+
"Quarter Over Quarter % (Smoothed) (Seasonally Adjusted)": datasets.Value(
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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+
"Year Over Year % (Smoothed) (Seasonally Adjusted)": datasets.Value(
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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+
"Month Over Month %": datasets.Value(
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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+
"Quarter Over Quarter %": datasets.Value(
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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+
"Year Over Year %": datasets.Value(
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dtype="float32", id="Month Over Month % (Smoothed)"
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),
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}
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