diff --git a/2016_AV_READING.csv b/PM10_AV_READING.csv
similarity index 100%
rename from 2016_AV_READING.csv
rename to PM10_AV_READING.csv
diff --git a/2016_MAX_1HR_READING.csv b/PM10_MAX_1HR_READING.csv
similarity index 100%
rename from 2016_MAX_1HR_READING.csv
rename to PM10_MAX_1HR_READING.csv
diff --git a/2016_MAX_24HR_READING.csv b/PM10_MAX_24HR_READING.csv
similarity index 100%
rename from 2016_MAX_24HR_READING.csv
rename to PM10_MAX_24HR_READING.csv
diff --git a/AQ_csvs.py b/PM10_csvs.py
similarity index 87%
rename from AQ_csvs.py
rename to PM10_csvs.py
index 84d2632a0b644cde1e603015fbfcf8bc4826fa03..c8cbc15deeefbcd6c30720fbbbc26a4a7aefed0f 100644
--- a/AQ_csvs.py
+++ b/PM10_csvs.py
@@ -19,10 +19,10 @@ air_quality_readings['value'] = air_quality_readings['value'].astype(float)
 air_quality_readings = air_quality_readings.set_index(["sample_datetime"])
 max_readings = air_quality_readings.groupby(['sp_name']).max()
 
-max_readings.to_csv(path_or_buf = "2016_MAX_1HR_READING.csv")
+max_readings.to_csv(path_or_buf = "PM10_MAX_1HR_READING.csv")
 
 max_24HR = air_quality_readings.groupby(["sp_name"]).resample("D").mean().groupby(["sp_name"]).max()
-max_24HR.to_csv(path_or_buf = "2016_MAX_24HR_READING.csv")
+max_24HR.to_csv(path_or_buf = "PM10_MAX_24HR_READING.csv")
 
 average = air_quality_readings.groupby(["sp_name"]).mean()
-average.to_csv(path_or_buf = "2016_AV_READING.csv")
\ No newline at end of file
+average.to_csv(path_or_buf = "PM10_AV_READING.csv")
\ No newline at end of file
diff --git a/AQ_to_LGA.csv b/PM10_to_LGA.csv
similarity index 85%
rename from AQ_to_LGA.csv
rename to PM10_to_LGA.csv
index 333fea0183821b28475f85c3bd22fc462ed53160..6a64800d3c58d2222270a2d5b1bae638e96fcac4 100644
--- a/AQ_to_LGA.csv
+++ b/PM10_to_LGA.csv
@@ -1,4 +1,4 @@
-sp_name,LGA_CODE
+sp_name,LGA_CODE_2011
 Alphington,21890
 Brooklyn,23110
 Dandenong,22670