diff --git a/README.md b/README.md
index 3fad313..7c575df 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
 ![Pecos](documentation/figures/logo.png)
-=======================================
+=========================================
 
 [![TravisCI](https://travis-ci.org/sandialabs/pecos.svg?branch=master)](https://travis-ci.org/sandialabs/pecos)
 [![Coverage Status](https://coveralls.io/repos/github/sandialabs/pecos/badge.svg?branch=master)](https://coveralls.io/github/sandialabs/pecos?branch=master)
diff --git a/ci/requirements-py36.yml b/ci/requirements-py36.yml
index 595faa2..8f1e10a 100644
--- a/ci/requirements-py36.yml
+++ b/ci/requirements-py36.yml
@@ -12,7 +12,6 @@ dependencies:
     - pvlib
     - plotly
     - ephem
-    - xlrd
     - sqlalchemy
     - pip:
         - coveralls
\ No newline at end of file
diff --git a/ci/requirements-py37.yml b/ci/requirements-py37.yml
index 34d804a..d3262df 100644
--- a/ci/requirements-py37.yml
+++ b/ci/requirements-py37.yml
@@ -12,7 +12,6 @@ dependencies:
     - pvlib
     - plotly
     - ephem
-    - xlrd
     - sqlalchemy
     - pip:
         - coveralls
\ No newline at end of file
diff --git a/ci/requirements-py38.yml b/ci/requirements-py38.yml
index 6859532..39a8c03 100644
--- a/ci/requirements-py38.yml
+++ b/ci/requirements-py38.yml
@@ -12,7 +12,6 @@ dependencies:
     - pvlib
     - plotly
     - ephem
-    - xlrd
     - sqlalchemy
     - pip:
         - coveralls
\ No newline at end of file
diff --git a/documentation/example.rst b/documentation/example.rst
index 2afc5fa..ff413d6 100644
--- a/documentation/example.rst
+++ b/documentation/example.rst
@@ -4,7 +4,7 @@ Simple example
 ================
 
 A simple example is included in the `examples/simple <https://github.com/sandialabs/pecos/tree/master/examples/simple>`_ directory.  
-This example uses data from an excel file, **simple.xlsx**, which 
+This example uses data from a CSV file, **simple.csv**, which 
 contains 4 columns of data (A through D). 
 
 * A = elapsed time in days
@@ -41,7 +41,7 @@ of expected range, data that doesn't change, and data that changes abruptly, as
 The script, **simple_example.py** (shown below), is used to run quality control analysis using Pecos.
 The script performs the following steps:
 
-* Load time series data from an excel file
+* Load time series data from a CSV file
 
 * Run quality control tests
 
diff --git a/documentation/whatsnew.rst b/documentation/whatsnew.rst
index 8fea40d..e5bf5ed 100644
--- a/documentation/whatsnew.rst
+++ b/documentation/whatsnew.rst
@@ -1,6 +1,8 @@
 Release Notes
 ================
 
+.. include:: whatsnew/v0.2.0.rst
+
 .. include:: whatsnew/v0.1.9.rst
 
 .. include:: whatsnew/v0.1.8.rst
diff --git a/documentation/whatsnew/v0.2.0.rst b/documentation/whatsnew/v0.2.0.rst
new file mode 100644
index 0000000..d86544f
--- /dev/null
+++ b/documentation/whatsnew/v0.2.0.rst
@@ -0,0 +1,12 @@
+.. _whatsnew_020:
+
+v0.2.0 (master)
+--------------------------
+
+* Replaced the use of Excel files in examples/tests with CSV files.  The Excel files were causing test failures.
+* Added `min_failures` to the streaming outlier test
+* Replaced mutable default arguments with None
+* Removed pecos logo from monitoring reports
+* Added timestamp to logger
+* Updated documentation and tests
+
diff --git a/examples/metrics/System1_2015_performance_metrics.csv b/examples/metrics/System1_2015_performance_metrics.csv
new file mode 100644
index 0000000..507fa11
--- /dev/null
+++ b/examples/metrics/System1_2015_performance_metrics.csv
@@ -0,0 +1,399 @@
+,Quality Control Index,Performance Ratio
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+11/12/2015,0.952632986,0.964626163
+11/13/2015,0.924127305,0.239211432
+11/14/2015,0.962343981,0.900127033
+11/15/2015,0.941458278,0.906060625
+11/16/2015,0.961069541,0.927992375
+11/17/2015,0.965074487,0.945310115
+11/18/2015,0.961628208,0.97152058
+11/19/2015,0.955668717,0.965980518
+11/20/2015,0.963153297,0.947733417
+11/21/2015,0.964800982,0.964709762
+11/22/2015,0.964778689,0.935542698
+11/23/2015,0.956110548,0.925049774
+11/24/2015,0.949889091,0.883263898
+11/25/2015,0.947347287,0.903458901
+11/26/2015,0.960437416,0.985231834
+11/27/2015,0.963897748,0.915753449
+11/28/2015,0.494091632,0.205613714
+11/29/2015,0.963431591,1.06253759
+11/30/2015,0.94712411,1.017543074
+12/1/2015,0.842545123,0.021095452
+12/2/2015,0.828397151,0.057383673
+12/3/2015,0.078347377,0
+12/4/2015,0.051724138,NaN
+12/5/2015,0.939815806,0.89536963
+12/6/2015,0.955890805,0.928310429
+12/7/2015,0.919744626,0.623476678
+12/8/2015,0.875869313,NaN
+12/9/2015,0.878182744,0.009115166
+12/10/2015,0.934760374,0.293583868
+12/11/2015,0.951973058,0.918009848
+12/12/2015,0.938570693,0.878956985
+12/13/2015,0.963671269,0.96725543
+12/14/2015,0.94097145,0.831732802
+12/15/2015,0.953663793,0.995555958
+12/16/2015,0.957548224,0.936421414
+12/17/2015,0.051724138,NaN
+12/18/2015,0.96368066,1.790901545
+12/19/2015,0.963338592,1.246571592
+12/20/2015,0.931185062,0.79259661
+12/21/2015,0.873651249,NaN
+12/22/2015,0.922035693,1.14946554
+12/23/2015,0.947559043,0.909905891
+12/24/2015,0.955339511,0.920903984
+12/25/2015,0.947362412,0.780118994
+12/26/2015,0.935192249,0.569652082
+12/27/2015,0.953452082,0.807538305
+12/28/2015,0.925236497,0.634790292
+12/29/2015,0.930805107,0.596915374
+12/30/2015,0.951678263,0.929611012
+12/31/2015,0.946746693,0.645779399
+1/1/2016,0.94091954,0.724529181
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
+,,
diff --git a/examples/metrics/System1_2015_performance_metrics.xlsx b/examples/metrics/System1_2015_performance_metrics.xlsx
deleted file mode 100644
index 576db9f..0000000
Binary files a/examples/metrics/System1_2015_performance_metrics.xlsx and /dev/null differ
diff --git a/examples/metrics/metrics_example.py b/examples/metrics/metrics_example.py
index 64aecc4..2b5e03d 100644
--- a/examples/metrics/metrics_example.py
+++ b/examples/metrics/metrics_example.py
@@ -1,11 +1,11 @@
 """
 In this example, performance metrics from a pv system are analyzed to determine 
 long term system health
-* Daily performance metrics for 2015 are loaded from a csv file
+* Daily performance metrics for 2015 are loaded from a CSV file
 * The files contain performance ratio and system availability.
 * The metrics are loaded into a pecos PerformanceMonitoring 
   object and a series of quality control tests are run
-* The results are printed to csv and html reports
+* The results are printed to CSV and HTML reports
 """
 import pandas as pd
 import matplotlib.pyplot as plt
@@ -18,8 +18,8 @@
 pm = pecos.monitoring.PerformanceMonitoring()
 
 # Populate the object with a dataframe and translation dictionary
-data_file = 'System1_2015_performance_metrics.xlsx'
-df = pd.read_excel(data_file, index_col=0)
+data_file = 'System1_2015_performance_metrics.csv'
+df = pd.read_csv(data_file, index_col=0, parse_dates=True)
 pm.add_dataframe(df)
 
 # Check timestamp
diff --git a/examples/pv/pv_example.py b/examples/pv/pv_example.py
index 173d7a4..8e27d33 100644
--- a/examples/pv/pv_example.py
+++ b/examples/pv/pv_example.py
@@ -12,7 +12,7 @@
 * A performance model is computed using pvlib, additional quality control tests
   are run to compare observed to predicted power output
 * PV performance metrics are computed
-* The results are written to an html report
+* The results are written to an HTML report
 """
 import yaml
 import pandas as pd
diff --git a/examples/simple/simple.csv b/examples/simple/simple.csv
new file mode 100644
index 0000000..7552ea1
--- /dev/null
+++ b/examples/simple/simple.csv
@@ -0,0 +1,97 @@
+,A,B,C,D
+1/1/2015 0:00,0.00,0.429793393,0,-0.035103303
+1/1/2015 0:15,0.01,0.510237161,0.103978389,0.109096969
+1/1/2015 0:30,0.02,0.460397817,0.20682956,0.187028468
+1/1/2015 0:45,0.03,0.62928264,0.307438515,0.372079834
+1/1/2015 1:00,0.04,0.111771863,0.404714563,0.210600495
+1/1/2015 1:15,0.05,0.647281193,0.497603148,0.571243744
+1/1/2015 1:30,0.06,0.424915498,0.585097273,0.547555022
+1/1/2015 1:45,0.07,0.1707199,0.666248425,0.501608375
+1/1/2015 2:00,0.08,0.810439948,0.740176853,0.895396827
+1/1/2015 2:15,0.09,0.912303974,0.806081108,1.012233095
+1/1/2015 2:30,0.10,0.87598201,0.863246729,1.051237735
+1/1/2015 2:45,0.11,0.161385063,0.911053991,0.741746522
+1/1/2015 3:00,0.12,0.672271076,0.948984619,1.035120157
+1/1/2015 3:15,0.14,0.772940816,0.976627413,1.113097821
+1/1/2015 3:30,0.15,0.687847121,0.9936827,1.08760626
+1/1/2015 3:45,0.16,0.38357856,0.999965586,0.941754866
+1/1/2015 4:00,0.17,0.740154063,0.995407958,1.11548499
+1/1/2015 4:15,0.18,0.451618353,0.980059225,0.955868402
+1/1/2015 4:30,0.19,0.949575356,0.954085782,1.17887346
+1/1/2015 4:45,0.20,0.687189909,0.917769203,1.011364157
+1/1/2015 5:15,0.22,0.601406805,0.815789314,0.866492716
+1/1/2015 5:30,0.23,0.680165564,0.751231556,0.841314338
+1/1/2015 5:45,0.24,0.522002065,0.678529782,0.689530815
+1/1/2015 6:00,0.25,0.015504149,0.598472145,0.356224219
+1/1/2015 6:15,0.26,0.772375249,0.511926538,0.648114163
+1/1/2015 6:30,0.27,-0.001,0.419831194,0.171936862
+1/1/2015 6:45,0.28,0.559056037,0.323184508,0.352712526
+1/1/2015 7:00,0.29,0.847987577,0.223034215,0.397028003
+1/1/2015 7:15,0.30,0.621564606,0.120466033,0.181248336
+1/1/2015 7:30,0.31,0.7372716,-999,0.135227693
+1/1/2015 7:45,0.32,0.316489709,-999,-0.179217263
+1/1/2015 8:00,0.33,0.785302493,-999,-0.047916716
+1/1/2015 8:15,0.34,0.579974315,-999,-0.251620723
+1/1/2015 8:30,0.35,0.345476747,-999,-0.466748138
+1/1/2015 8:45,0.36,0.350357633,-999,-0.557963946
+1/1/2015 9:00,0.37,0.559362238,-999,-0.541880199
+1/1/2015 9:15,0.39,0.205868519,-999,-0.800849383
+1/1/2015 9:30,0.40,0.793399286,-999,-0.582218729
+1/1/2015 9:45,0.41,0.581206564,-0.796150981,-0.755547699
+1/1/2015 10:00,0.42,0.88546213,-0.854752607,-0.662021542
+1/1/2015 10:15,0.43,0.862051747,-0.904087957,-0.723062084
+1/1/2015 10:30,0.44,0.69936246,-0.943622192,-0.843940962
+1/1/2015 10:45,0.45,0.736740858,-0.972926726,-0.854556297
+1/1/2015 11:00,0.46,0.506848318,-0.991683872,-0.988259713
+1/1/2015 11:15,0.47,0.403798294,-0.999690285,-1.047791138
+1/1/2015 11:30,0.48,0.535661908,-0.99685917,-0.979028216
+1/1/2015 11:45,0.49,0.862132565,-0.983221217,-0.802154935
+1/1/2015 12:00,0.50,0.883275665,-0.958924275,-0.767286442
+1/1/2015 12:15,0.50,0.786830248,-0.924231744,-0.780816619
+1/1/2015 12:30,0.50,0.427837005,-0.879519721,-0.915601218
+1/1/2015 12:45,0.50,0.021097359,-0.825272924,-1.064724245
+1/1/2015 13:00,0.50,0.073028713,-0.112079438,-0.975565081
+1/1/2015 13:15,0.50,0.328392757,-0.090624334,-0.776427956
+1/1/2015 13:30,0.50,0.373087924,-0.061682251,-0.675138289
+1/1/2015 13:45,0.50,0.618797188,-0.02610899,-0.466710396
+1/1/2015 14:00,0.50,0.570540234,0.015167759,-0.399562124
+1/1/2015 14:15,0.50,0.565068395,0.061158475,-0.306307327
+1/1/2015 14:30,0.50,0.981633604,0.110822534,0.001639335
+1/1/2015 14:45,0.61,0.906677808,0.163079488,0.066418392
+1/1/2015 15:00,0.62,0.956760766,0.216820782,0.195201165
+1/1/2015 15:15,0.64,0.015060399,0.270921768,-0.171548032
+1/1/2015 15:30,0.65,1.001,0.324253899,0.421727402
+1/1/2015 15:45,0.66,0.2512004,0.375696964,0.151297164
+1/1/2015 16:00,0.67,0.643948326,0.424151229,0.446125392
+1/1/2015 16:15,0.68,0.84826817,0.468549363,0.642683448
+1/1/2015 16:30,0.69,0.908221965,0.557868007,0.761978989
+1/1/2015 16:45,0.70,0.048439506,0.641138867,0.41535862
+1/1/2015 17:00,0.71,0.181077653,0.717459213,0.557998039
+1/1/2015 17:00,0.71,0.771620858,0.717459213,0.853269642
+1/1/2015 17:15,0.72,0.088979337,0.786001665,0.580491334
+1/1/2015 17:30,0.73,0.363817745,0.846023162,0.777932035
+1/1/2015 17:45,0.74,0.648708326,0.896873019,
+1/1/2015 18:00,0.75,0.832214314,0.937999976,
+1/1/2015 18:15,0.76,0.694004841,0.968958183,
+1/1/2015 18:30,0.77,0.568827238,0.989412023,1.023825642
+1/1/2015 18:45,0.78,0.753781269,0.99913976,1.126030395
+1/1/2015 19:00,0.79,0.178798582,0.998035937,0.837435228
+1/1/2015 19:15,0.80,0.541904069,0.986112519,1.007064553
+1/1/2015 19:45,0.82,0.722501127,0.930439834,1.041690398
+1/1/2015 19:30,0.81,0.678701932,0.963498767,1.052849733
+1/1/2015 20:00,0.83,0.102360557,0.887294109,0.688474387
+1/1/2015 20:15,0.84,0.140058519,0.834529329,0.654558588
+1/1/2015 20:30,0.85,0.23017013,0.772717511,0.637802576
+1/1/2015 20:45,0.86,0.085699622,0.70252875,0.495378561
+1/1/2015 21:00,0.87,0.742430465,0.624723955,0.745939188
+1/1/2015 21:15,0.89,0.897746216,0.540146599,0.739019707
+1/1/2015 21:30,0.90,0.062808732,0.449713574,0.23111794
+1/1/2015 21:45,0.91,0.153075676,0.354405256,0.180943093
+1/1/2015 22:00,0.92,0.576533359,0.25525487,0.293521549
+1/1/2015 22:15,0.93,0.003205705,0.153337295,-0.095059852
+1/1/2015 22:30,0.94,0.71136348,0.049757408,0.155439148
+1/1/2015 22:45,0.95,0.951160038,-0.054361893,0.171218126
+1/1/2015 23:00,0.96,0.028180644,-0.157891863,-0.393801541
+1/1/2015 23:15,0.97,0.154533482,-0.259710145,-0.432443404
+1/1/2015 23:30,0.98,0.543068484,-0.35871294,-0.337178698
+1/1/2015 23:45,0.99,0.585191477,-0.453826968,-0.411231229
diff --git a/examples/simple/simple.xlsx b/examples/simple/simple.xlsx
deleted file mode 100644
index c5fa164..0000000
Binary files a/examples/simple/simple.xlsx and /dev/null differ
diff --git a/examples/simple/simple_example.py b/examples/simple/simple_example.py
index 13183ae..c959ebf 100644
--- a/examples/simple/simple_example.py
+++ b/examples/simple/simple_example.py
@@ -1,14 +1,14 @@
 """
 In this example, simple time series data is used to demonstrate basic functions
 in pecos.  
-* Data is loaded from an excel file which contains four columns of values that 
+* Data is loaded from a CSV file which contains four columns of values that 
   are expected to follow linear, random, and sine models.
 * A translation dictionary is defined to map and group the raw data into 
   common names for analysis
 * A time filter is established to screen out data between 3 AM and 9 PM
 * The data is loaded into a pecos PerformanceMonitoring object and a series of 
   quality control tests are run, including range tests and increment tests 
-* The results are printed to csv and html reports
+* The results are printed to CSV and HTML reports
 """
 import pandas as pd
 import matplotlib.pyplot as plt
@@ -22,8 +22,8 @@
 pm = pecos.monitoring.PerformanceMonitoring()
 
 # Populate the object with a DataFrame and translation dictionary
-data_file = 'simple.xlsx'
-df = pd.read_excel(data_file, index_col=0)
+data_file = 'simple.csv'
+df = pd.read_csv(data_file, index_col=0, parse_dates=True)
 pm.add_dataframe(df)
 pm.add_translation_dictionary({'Wave': ['C','D']}) # group C and D
 
diff --git a/examples/simple/simple_example_using_config.py b/examples/simple/simple_example_using_config.py
index 2cc50e6..0a806ea 100644
--- a/examples/simple/simple_example_using_config.py
+++ b/examples/simple/simple_example_using_config.py
@@ -20,8 +20,8 @@
 pm = pecos.monitoring.PerformanceMonitoring()
 
 # Populate the object with a DataFrame and translation dictionary
-data_file = 'simple.xlsx'
-df = pd.read_excel(data_file, index_col=0)
+data_file = 'simple.csv'
+df = pd.read_csv(data_file, index_col=0, parse_dates=True)
 pm.add_dataframe(df)
 pm.add_translation_dictionary(config['Translation'])
 
diff --git a/pecos/__init__.py b/pecos/__init__.py
index cc7687e..e617273 100644
--- a/pecos/__init__.py
+++ b/pecos/__init__.py
@@ -6,7 +6,7 @@
 from pecos import utils
 from pecos import pv
 
-__version__ = '0.1.9'
+__version__ = '0.2.0'
 
 __copyright__ = """Copyright 2016 National Technology & Engineering 
     Solutions of Sandia, LLC (NTESS). Under the terms of Contract 
diff --git a/pecos/graphics.py b/pecos/graphics.py
index 39ff745..76a0bf1 100644
--- a/pecos/graphics.py
+++ b/pecos/graphics.py
@@ -305,9 +305,8 @@ def plot_interactive_timeseries(data, xaxis_min=None, xaxis_max=None, yaxis_min=
     else:
         plotly.offline.plot(fig, auto_open=auto_open)  
         
-def plot_heatmap(data, colors=[(0.75, 0.15, 0.15), (1, 0.75, 0.15), (0.15, 0.75, 0.15)], 
-                               nColors=12, cmap=None, vmin=None, vmax=None, 
-                               show_axis=False, title=None, figsize=(5.0, 5.0)): 
+def plot_heatmap(data, colors=None, nColors=12, cmap=None, vmin=None, vmax=None, 
+                 show_axis=False, title=None, figsize=(5.0, 5.0)): 
     """ 
     Create a heatmap.  Default color scheme is red to yellow to green with 12 
     colors.  This function can be used to generate dashboards with simple color 
@@ -319,10 +318,10 @@ def plot_heatmap(data, colors=[(0.75, 0.15, 0.15), (1, 0.75, 0.15), (0.15, 0.75,
     data : pandas DataFrame, pandas Series, or numpy array
         Data
     
-    colors : list, optional
+    colors : list or None, optional
         List of colors, colors can be specified in any way understandable by 
         matplotlib.colors.ColorConverter.to_rgb().
-        Default is red to yellow to green.
+        If None, colors transitions from red to yellow to green.
     
     num_colors : int, optional
         Number of colors in the colormap, default = 12
@@ -342,8 +341,11 @@ def plot_heatmap(data, colors=[(0.75, 0.15, 0.15), (1, 0.75, 0.15), (0.15, 0.75,
     figsize : tuple, optional
         Figure size, default = (5.0, 5.0)
     """
+    if colors is None:
+        colors = [(0.75, 0.15, 0.15), (1, 0.75, 0.15), (0.15, 0.75, 0.15)]
+        
     if isinstance(data, (pd.DataFrame, pd.Series)):
-            data = data.values
+        data = data.values
     if len(data.shape) == 1:
         data = np.expand_dims(data, axis=0)
         
diff --git a/pecos/io.py b/pecos/io.py
index beb18d4..888a569 100644
--- a/pecos/io.py
+++ b/pecos/io.py
@@ -217,9 +217,9 @@ def write_test_results(test_results, filename='test_results.csv'):
     
     return full_filename
 
-def write_monitoring_report(data, test_results, test_results_graphics=[], 
-                            custom_graphics=[], metrics=None, 
-                            title='Pecos Monitoring Report', config={}, logo=False, 
+def write_monitoring_report(data, test_results, test_results_graphics=None, 
+                            custom_graphics=None, metrics=None, 
+                            title='Pecos Monitoring Report', config=None, logo=False, 
                             im_width_test_results=1, im_width_custom=1, im_width_logo=0.1,
                             encode=False, file_format='html',
                             filename='monitoring_report.html'):
@@ -236,12 +236,14 @@ def write_monitoring_report(data, test_results, test_results_graphics=[],
     test_results : pandas DataFrame
         Summary of the quality control test results (pm.test_results)
         
-    test_results_graphics : list of strings, optional
+    test_results_graphics : list of strings or None, optional
         Graphics files, with full path.  These graphics highlight data points 
-        that failed a quality control test, created using pecos.graphics.plot_test_results()
+        that failed a quality control test, created using pecos.graphics.plot_test_results().
+        If None, test results graphics are not included in the report.
         
-    custom_graphics : list of strings, optional
+    custom_graphics : list of strings or None, optional
         Custom files, with full path.  Created by the user.
+        If None, custom graphics are not included in the report.
     
     metrics : pandas Series or DataFrame, optional
         Performance metrics to add as a table to the monitoring report
@@ -249,8 +251,9 @@ def write_monitoring_report(data, test_results, test_results_graphics=[],
     title : string, optional
         Monitoring report title, default = 'Pecos Monitoring Report'
         
-    config : dictionary, optional
-        Configuration options, to be printed at the end of the report
+    config : dictionary or None, optional
+        Configuration options, to be printed at the end of the report.
+        If None, configuration options are not included in the report.
     
     logo : string, optional
         Graphic to be added to the report header
@@ -278,6 +281,13 @@ def write_monitoring_report(data, test_results, test_results_graphics=[],
     """
     logger.info("Writing HTML report")
     
+    if test_results_graphics is None:
+        test_results_graphics = []
+    if custom_graphics is None:
+        custom_graphics = []
+    if config is None:
+        config = {}
+        
     if data.empty:
         logger.warning("Empty database")
         start_time = 'NaN'
@@ -308,8 +318,6 @@ def write_monitoring_report(data, test_results, test_results_graphics=[],
     if metrics is None:
         metrics = pd.DataFrame()
     
-    pecos_logo = join(dirname(pecos.__file__), '..', 'documentation', 'figures', 'logo.png')
-    
     content = {'start_time': str(start_time), 
                'end_time': str(end_time), 
                'num_notes': str(notes_df.shape[0]),
@@ -323,7 +331,6 @@ def write_monitoring_report(data, test_results, test_results_graphics=[],
     if file_format == 'html':
         content['test_results_graphics'] = test_results_graphics
         content['custom_graphics'] = custom_graphics
-        content['pecos_logo'] = pecos_logo
         
         if isinstance(metrics, pd.Series):
             metrics_html = metrics.to_frame().to_html(header=False)
@@ -343,11 +350,9 @@ def write_monitoring_report(data, test_results, test_results_graphics=[],
     else:
         test_results_graphics = [g.replace('\\', '/') for g in test_results_graphics]
         custom_graphics = [g.replace('\\', '/') for g in custom_graphics]
-        pecos_logo = pecos_logo.replace('\\', '/')
         
         content['test_results_graphics'] = test_results_graphics
         content['custom_graphics'] = custom_graphics
-        content['pecos_logo'] = pecos_logo
         
         content['metrics'] = metrics.to_latex(longtable=True)
         content['test_results'] = test_results.to_latex(longtable=True)
@@ -477,9 +482,6 @@ def _html_template_monitoring_report(content, title, logo, im_width_test_results
         for im in content['test_results_graphics']:
             img_encode = base64.b64encode(open(im, "rb").read()).decode("utf-8")
             img_dic[im] = img_encode
-        im = content['pecos_logo']
-        img_encode = base64.b64encode(open(im, "rb").read()).decode("utf-8")
-        img_dic[im] = img_encode
 
     template = env.get_template('monitoring_report.html')
 
diff --git a/pecos/logger.py b/pecos/logger.py
index f7544cd..f689c82 100644
--- a/pecos/logger.py
+++ b/pecos/logger.py
@@ -21,11 +21,9 @@ def initialize():
     ch = logging.StreamHandler()
     ch.setLevel(logging.INFO)
     
-    formatter = logging.Formatter('%(message)s')
+    formatter = logging.Formatter("%(asctime)s : %(message)s", "%Y-%m-%d %H:%M:%S")
     fh.setFormatter(formatter)
     ch.setFormatter(formatter)
     if not len(pecos_logger.handlers):
         pecos_logger.addHandler(fh)
         pecos_logger.addHandler(ch)
-    
-    
diff --git a/pecos/monitoring.py b/pecos/monitoring.py
index 90e4056..70f3bb3 100644
--- a/pecos/monitoring.py
+++ b/pecos/monitoring.py
@@ -666,7 +666,7 @@ def outlier(data_pt, history):
             error_prefix = 'Outlier'
             
         if streaming:
-            metadata = self.check_custom_streaming(outlier, window, rebase=0.5, error_message=error_prefix)
+            metadata = self.check_custom_streaming(outlier, window, rebase=0.5, min_failures=min_failures, error_message=error_prefix)
         else:
             # Compute normalized data
             if window is not None:
diff --git a/pecos/templates/base.html b/pecos/templates/base.html
index a156d3e..3eed23d 100644
--- a/pecos/templates/base.html
+++ b/pecos/templates/base.html
@@ -7,7 +7,7 @@
 </head>
 <body>
 	{% block body %}
-		<hr>Report generated by <A href="https://github.com/sandialabs/pecos"><img src="{{ content['pecos_logo'] }}" alt="Pecos" width="5%"></A><br>
+		<hr>Report generated by <A href="https://github.com/sandialabs/pecos">Pecos</A><br>
  		Version {{ version }}, Date {{ datestr }}
 	{% endblock %}
 </body>
diff --git a/pecos/templates/monitoring_report.tex b/pecos/templates/monitoring_report.tex
index 7d765c3..a4e1cc1 100644
--- a/pecos/templates/monitoring_report.tex
+++ b/pecos/templates/monitoring_report.tex
@@ -45,7 +45,11 @@
 
 {% if content['num_metrics']|int > 0 %}
     \textbf{\Large{Performance Metrics}}
+    
+    \vspace{0.1in}
+    \small{\centering{
     {{ content['metrics'] }}
+    }}
 {% endif %}
 
 \textbf{\Large{Test Results}}
@@ -77,7 +81,7 @@
 \underline{\hspace{\linewidth}}
 
 \footnotesize{
-Report generated by \href{https://pecos.readthedocs.io/}{\includegraphics[height=0.26cm]{% raw -%}{{%- endraw %}{{content['pecos_logo']}}{% raw -%}}{%- endraw %} }
+Report generated by \href{https://github.com/sandialabs/pecos}{Pecos}
 
 Version {{ version }}, Date {{ datestr }} }
 
diff --git a/pecos/tests/test_monitoring.py b/pecos/tests/test_monitoring.py
index 599d43e..784e141 100644
--- a/pecos/tests/test_monitoring.py
+++ b/pecos/tests/test_monitoring.py
@@ -77,9 +77,9 @@ def setUp(self):
             'Random': ['B'],
             'Wave': ['C','D']}
 
-        file_name = join(simpleexampledir,'simple.xlsx')
+        file_name = join(simpleexampledir,'simple.csv')
 
-        self.raw_data = pd.read_excel(file_name, index_col=0)
+        self.raw_data = pd.read_csv(file_name, index_col=0, parse_dates=True)
         self.pm = pecos.monitoring.PerformanceMonitoring()
         self.pm.add_dataframe(self.raw_data)
         self.pm.add_translation_dictionary(trans)
@@ -264,8 +264,8 @@ def test_composite_signal(self):
         assert_frame_equal(temp, expected, check_dtype=False)
 
     def test_full_example(self):
-        data_file = join(simpleexampledir,'simple.xlsx')
-        df = pd.read_excel(data_file, index_col=0)
+        data_file = join(simpleexampledir,'simple.csv')
+        df = pd.read_csv(data_file, index_col=0, parse_dates=True)
 
         QCI = simple_example_run_analysis(df)
 
@@ -284,8 +284,8 @@ def test_full_example(self):
         assert_frame_equal(actual, expected, check_dtype=False)
     
     def test_millisecond_timestamp(self):
-        data_file = join(simpleexampledir,'simple.xlsx')
-        df = pd.read_excel(data_file, index_col=0)
+        data_file = join(simpleexampledir,'simple.csv')
+        df = pd.read_csv(data_file, index_col=0, parse_dates=True)
         
         index = pecos.utils.datetime_to_elapsedtime(df.index)
         df.index = index/1e5 # millisecond resolution
@@ -308,8 +308,8 @@ def test_millisecond_timestamp(self):
         assert_frame_equal(pm.test_results, expected, check_dtype=False)
 
     def test_full_example_with_timezone(self):
-        data_file = join(simpleexampledir,'simple.xlsx')
-        df = pd.read_excel(data_file, index_col=0)
+        data_file = join(simpleexampledir,'simple.csv')
+        df = pd.read_csv(data_file, index_col=0, parse_dates=True)
         df.index = df.index.tz_localize('MST')
 
         QCI = simple_example_run_analysis(df)