address J-M comments

examples/using_not_in_operator.py

@@ -45,4 +45,4 @@
 main_attributes = []
 query = {"and_filters": and_filters}
 #
-recieved_results_data = query_the_search_ending(query, main_attributes)
+received_results_data = query_the_search_ending(query, main_attributes)

manage.py

@@ -369,11 +369,11 @@ def restore_elasticsearch_data():
 @manager.option("-p", "--project_name", help="Project name, or part of it")
 def data_validator(screen_name=None, project_name=None):
     """
-    Checking key-value pair for tailing and heading space.
+    Checking key-value pair for trailing and heading space.
     It also checks the key-value pair duplication.
     It can check all the projects and screens.
     Also, it can run for a specific project or screen.
-    The output is  a collection of CSV files; each check usually generates three files:
+    The output is a collection of CSV files; each check usually generates three files:
     The main file contains image details (e.g. image id)
     in addition to the key and the value.
     one file for screens and one for projects.

omero_search_engine/validation/omero_keyvalue_data_validator.py

@@ -56,7 +56,7 @@ def check_for_trailing_space(screen_name, project_name):
     )
     tail_space_results = conn.execute_query(sql_statment)
     if len(tail_space_results) == 0:
-        search_omero_app.logger.info("No results is aviable fro trailing space")
+        search_omero_app.logger.info("No results is availlable for trailing space")
         return
     search_omero_app.logger.info("Generate for trailing space ...")
     genrate_reports(tail_space_results, "tailing_space", screen_name, project_name)
@@ -116,7 +116,7 @@ def genrate_reports(results, check_type, screen_name, project_name):
             df.groupby(["screen_name", "name", "value"])
             .size()
             .reset_index()
-            .rename(columns={0: "no of images"})
+            .rename(columns={0: "number of images"})
         )
         with open(screens_file, "w") as text_file:
             text_file.write(df2.to_csv())
@@ -127,7 +127,7 @@ def genrate_reports(results, check_type, screen_name, project_name):
             df.groupby(["project_name", "name", "value"])
             .size()
             .reset_index()
-            .rename(columns={0: "no of images"})
+            .rename(columns={0: "number of images"})
         )
 
         with open(projects_file, "w") as text_file: