online_duration.py -> online_sessions.py

2 files changed, 14 insertions, 14 deletions

diff --git a/docs/online_duration.md b/docs/online_sessions.md
index f5c703b..e6b4b08 100644
--- a/docs/online_duration.md
+++ b/docs/online_sessions.md
@@ -1,4 +1,4 @@
-online_duration.py
+online_sessions.py
 ==================
 
 View/visualize the amount of time people spend online.
@@ -9,8 +9,8 @@ Usage
 Run from the top-level directory using `python -m`:
 
 ```
-> python -m bin.online_duration -h
-usage: online_duration.py [-h] [-g {user,date,weekday,hour}]
+> python -m bin.online_sessions -h
+usage: online_sessions.py [-h] [-g {user,date,weekday,hour}]
                           [-i {csv,log,null}] [-o {csv,json,plot}]
                           [-a TIME_FROM] [-b TIME_TO]
                           input [output]
@@ -24,7 +24,7 @@ For example (assuming the database in "db.csv" was generated by
 [track_status.py] before):
 
 ```
-> python -m bin.online_duration db.csv
+> python -m bin.online_sessions db.csv
 89497105,John,Smith,john.smith,0:12:31
 3698577,Jane,Smith,jane.smith,1:34:46
 ```
@@ -36,7 +36,7 @@ The output format is CSV (comma-separated values) by default.
 You can also get a JSON document:
 
 ```
-> python -m bin.online_duration --output-format json db.csv
+> python -m bin.online_sessions --output-format json db.csv
 [
    {
       "uid": 89497105,
@@ -63,7 +63,7 @@ For example (assuming that both Jane and Joe spent their time online on Friday,
 June 17, 2016).
 
 ```
-> python -m bin.online_duration --output-format json --group-by date db.csv
+> python -m bin.online_sessions --output-format json --group-by date db.csv
 [
    {
       "date": "2016-06-17",
@@ -73,7 +73,7 @@ June 17, 2016).
 ```
 
 ```
-> python -m bin.online_duration --output-format csv --group-by weekday db.csv
+> python -m bin.online_sessions --output-format csv --group-by weekday db.csv
 Monday,0:00:00
 Tuesday,0:00:00
 Wednesday,0:00:00
@@ -84,7 +84,7 @@ Sunday,0:00:00
 ```
 
 ```
-> python -m bin.online_duration --group-by hour db.csv
+> python -m bin.online_sessions --group-by hour db.csv
 0:00:00,0:00:00
 1:00:00,0:00:00
 2:00:00,0:00:00
@@ -117,25 +117,25 @@ To produce a plot, pass `plot` as the `--output-format` parameter value and add
 a file path to write the image to.
 
 ```
-> python -m bin.online_duration --output-format plot db.csv user.png
+> python -m bin.online_sessions --output-format plot db.csv user.png
 ```
 
 ![user.png]
 
 ```
-> python -m bin.online_duration --output-format plot --group-by date db.csv date.png
+> python -m bin.online_sessions --output-format plot --group-by date db.csv date.png
 ```
 
 ![date.png]
 
 ```
-> python -m bin.online_duration --output-format plot --group-by weekday db.csv weekday.png
+> python -m bin.online_sessions --output-format plot --group-by weekday db.csv weekday.png
 ```
 
 ![weekday.png]
 
 ```
-> python -m bin.online_duration --output-format plot --group-by hour db.csv hour.png
+> python -m bin.online_sessions --output-format plot --group-by hour db.csv hour.png
 ```
 
 ![hour.png]
diff --git a/docs/track_status.md b/docs/track_status.md
index be4764a..8fe0746 100644
--- a/docs/track_status.md
+++ b/docs/track_status.md
@@ -30,11 +30,11 @@ For example (using made up user IDs/"screen names"),
 By default, the script produces a human-readable log.
 Use the `--log` parameter to write the log to a file.
 If you want to record when people go online/offline for further analysis using
-[online_duration.py], specify the path to a database using the `--output`
+[online_sessions.py], specify the path to a database using the `--output`
 parameter.
 Be careful: if the file already exists, it will be overwritten!
 
-[online_duration.py]: online_duration.md
+[online_sessions.py]: online_sessions.md
 
 See also
 --------