--- a/ckanext/ga_report/command.py
+++ b/ckanext/ga_report/command.py
@@ -55,6 +55,36 @@
         init_service('token.dat',
                       self.args[0] if self.args
                                    else 'credentials.json')
+
+class FixTimePeriods(CkanCommand):
+    """
+    Fixes the 'All' records for GA_Urls
+
+    It is possible that older urls that haven't recently been visited
+    do not have All records.  This command will traverse through those
+    records and generate valid All records for them.
+    """
+    summary = __doc__.split('\n')[0]
+    usage = __doc__
+    max_args = 0
+    min_args = 0
+
+    def __init__(self, name):
+        super(FixTimePeriods, self).__init__(name)
+
+    def command(self):
+        import ckan.model as model
+        from ga_model import post_update_url_stats
+        self._load_config()
+        model.Session.remove()
+        model.Session.configure(bind=model.meta.engine)
+
+        log = logging.getLogger('ckanext.ga_report')
+
+        log.info("Updating 'All' records for old URLs")
+        post_update_url_stats()
+        log.info("Processing complete")
+
 
 
 class LoadAnalytics(CkanCommand):

--- a/ckanext/ga_report/controller.py
+++ b/ckanext/ga_report/controller.py
@@ -1,6 +1,7 @@
 import re
 import csv
 import sys
+import json
 import logging
 import operator
 import collections
@@ -13,6 +14,7 @@
 
 log = logging.getLogger('ckanext.ga-report')
 
+DOWNLOADS_AVAILABLE_FROM = '2012-12'
 
 def _get_month_name(strdate):
     import calendar
@@ -20,8 +22,12 @@
     d = strptime(strdate, '%Y-%m')
     return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year)
 
-
-def _month_details(cls):
+def _get_unix_epoch(strdate):
+    from time import strptime,mktime
+    d = strptime(strdate, '%Y-%m')
+    return int(mktime(d))
+
+def _month_details(cls, stat_key=None):
     '''
     Returns a list of all the periods for which we have data, unfortunately
     knows too much about the type of the cls being passed as GA_Url has a
@@ -32,9 +38,13 @@
     months = []
     day = None
 
-    vals = model.Session.query(cls.period_name,cls.period_complete_day)\
-        .filter(cls.period_name!='All').distinct(cls.period_name)\
-        .order_by("period_name desc").all()
+    q = model.Session.query(cls.period_name,cls.period_complete_day)\
+        .filter(cls.period_name!='All').distinct(cls.period_name)
+    if stat_key:
+        q=  q.filter(cls.stat_name==stat_key)
+
+    vals = q.order_by("period_name desc").all()
+
     if vals and vals[0][1]:
         day = int(vals[0][1])
         ordinal = 'th' if 11 <= day <= 13 \
@@ -66,25 +76,6 @@
         for entry in entries:
             writer.writerow([entry.period_name.encode('utf-8'),
                              entry.stat_name.encode('utf-8'),
-                             entry.key.encode('utf-8'),
-                             entry.value.encode('utf-8')])
-
-    def csv_downloads(self, month):
-        import csv
-
-        q = model.Session.query(GA_Stat).filter(GA_Stat.stat_name=='Downloads')
-        if month != 'all':
-            q = q.filter(GA_Stat.period_name==month)
-        entries = q.order_by('GA_Stat.period_name, GA_Stat.key').all()
-
-        response.headers['Content-Type'] = "text/csv; charset=utf-8"
-        response.headers['Content-Disposition'] = str('attachment; filename=downloads_%s.csv' % (month,))
-
-        writer = csv.writer(response)
-        writer.writerow(["Period", "Resource URL", "Count"])
-
-        for entry in entries:
-            writer.writerow([entry.period_name.encode('utf-8'),
                              entry.key.encode('utf-8'),
                              entry.value.encode('utf-8')])
 
@@ -121,11 +112,26 @@
 
             return key, val
 
+        # Query historic values for sparkline rendering
+        sparkline_query = model.Session.query(GA_Stat)\
+                .filter(GA_Stat.stat_name=='Totals')\
+                .order_by(GA_Stat.period_name)
+        sparkline_data = {}
+        for x in sparkline_query:
+            sparkline_data[x.key] = sparkline_data.get(x.key,[])
+            key, val = clean_key(x.key,float(x.value))
+            tooltip = '%s: %s' % (_get_month_name(x.period_name), val)
+            sparkline_data[x.key].append( (tooltip,x.value) )
+        # Trim the latest month, as it looks like a huge dropoff
+        for key in sparkline_data:
+            sparkline_data[key] = sparkline_data[key][:-1]
+
         c.global_totals = []
         if c.month:
             for e in entries:
                 key, val = clean_key(e.key, e.value)
-                c.global_totals.append((key, val))
+                sparkline = sparkline_data[e.key]
+                c.global_totals.append((key, val, sparkline))
         else:
             d = collections.defaultdict(list)
             for e in entries:
@@ -135,10 +141,18 @@
                     v = sum(v)
                 else:
                     v = float(sum(v))/float(len(v))
+                sparkline = sparkline_data[k]
                 key, val = clean_key(k,v)
 
-                c.global_totals.append((key, val))
-                c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0))
+                c.global_totals.append((key, val, sparkline))
+        # Sort the global totals into a more pleasant order
+        def sort_func(x):
+            key = x[0]
+            total_order = ['Total page views','Total visits','Pages per visit']
+            if key in total_order:
+                return total_order.index(key)
+            return 999
+        c.global_totals = sorted(c.global_totals, key=sort_func)
 
         keys = {
             'Browser versions': 'browser_versions',
@@ -175,7 +189,29 @@
 
         for k, v in keys.iteritems():
             q = model.Session.query(GA_Stat).\
-                filter(GA_Stat.stat_name==k)
+                filter(GA_Stat.stat_name==k).\
+                order_by(GA_Stat.period_name)
+            # Run the query on all months to gather graph data
+            series = {}
+            x_axis = set()
+            for stat in q:
+                x_val = _get_unix_epoch(stat.period_name)
+                series[ stat.key ] = series.get(stat.key,{})
+                series[ stat.key ][x_val] = float(stat.value)
+                x_axis.add(x_val)
+            # Common x-axis for all series. Exclude this month (incomplete data)
+            x_axis = sorted(list(x_axis))[:-1]
+            # Buffer a rickshaw dataset from the series
+            def create_graph(series_name, series_data):
+                return { 
+                    'name':series_name, 
+                    'data':[ {'x':x,'y':series_data.get(x,0)} for x in x_axis ]
+                    }
+            rickshaw = [ create_graph(name,data) for name, data in series.items() ]
+            rickshaw = sorted(rickshaw,key=lambda x:x['data'][-1]['y'])
+            setattr(c, v+'_graph', json.dumps(rickshaw))
+
+            # Buffer the tabular data
             if c.month:
                 entries = []
                 q = q.filter(GA_Stat.period_name==c.month).\
@@ -192,43 +228,12 @@
             # Get the total for each set of values and then set the value as
             # a percentage of the total
             if k == 'Social sources':
-                total = sum([x for n,x in c.global_totals if n == 'Total visits'])
+                total = sum([x for n,x,graph in c.global_totals if n == 'Total visits'])
             else:
                 total = sum([num for _,num in entries])
             setattr(c, v, [(k,_percent(v,total)) for k,v in entries ])
 
         return render('ga_report/site/index.html')
-
-    def downloads(self):
-
-        # Get the month details by fetching distinct values and determining the
-        # month names from the values.
-        c.months, c.day = _month_details(GA_Stat)
-
-        # Work out which month to show, based on query params of the first item
-        c.month_desc = 'all months'
-        c.month = request.params.get('month', '')
-        if c.month:
-            c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
-
-        c.downloads = []
-        q = model.Session.query(GA_Stat).filter(GA_Stat.stat_name=='Downloads')
-        q = q.filter(GA_Stat.period_name==c.month) if c.month else q
-        q = q.order_by("ga_stat.value::int desc")
-
-        data = collections.defaultdict(int)
-        for entry in q.all():
-            r = model.Session.query(model.Resource).filter(model.Resource.url==entry.key).first()
-            if not r:
-                continue
-            data[r] += int(entry.value)
-
-        for k,v in data.iteritems():
-            c.downloads.append((k,v))
-
-        c.downloads = sorted(c.downloads, key=operator.itemgetter(1), reverse=True)
-
-        return render('ga_report/site/downloads.html')
 
 
 class GaDatasetReport(BaseController):
@@ -268,19 +273,20 @@
             if not c.publisher:
                 abort(404, 'A publisher with that name could not be found')
 
-        packages = self._get_packages(c.publisher)
+        packages, graph_data = self._get_packages(c.publisher)
         response.headers['Content-Type'] = "text/csv; charset=utf-8"
         response.headers['Content-Disposition'] = \
             str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,))
 
         writer = csv.writer(response)
-        writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Period Name"])
-
-        for package,view,visit in packages:
+        writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Resource downloads", "Period Name"])
+
+        for package,view,visit,downloads in packages:
             writer.writerow([package.title.encode('utf-8'),
                              package.name.encode('utf-8'),
                              view,
                              visit,
+                             downloads,
                              month])
 
     def publishers(self):
@@ -301,10 +307,10 @@
 
     def _get_packages(self, publisher=None, count=-1):
         '''Returns the datasets in order of views'''
-        if count == -1:
-            count = sys.maxint
-
+        have_download_data = True
         month = c.month or 'All'
+        if month != 'All':
+            have_download_data = month >= DOWNLOADS_AVAILABLE_FROM
 
         q = model.Session.query(GA_Url,model.Package)\
             .filter(model.Package.name==GA_Url.package_id)\
@@ -313,14 +319,35 @@
             q = q.filter(GA_Url.department_id==publisher.name)
         q = q.filter(GA_Url.period_name==month)
         q = q.order_by('ga_url.pageviews::int desc')
+        graph_data = []
         top_packages = []
-        for entry,package in q.limit(count):
+        if count == -1:
+            entries = q.all()
+        else:
+            entries = q.limit(count)
+
+        for entry,package in entries:
             if package:
-                top_packages.append((package, entry.pageviews, entry.visits))
+                graph = []
+                # Downloads ....
+                if have_download_data:
+                    dls = model.Session.query(GA_Stat).\
+                        filter(GA_Stat.stat_name=='Downloads').\
+                        filter(GA_Stat.key==package.name)
+                    if month != 'All':  # Fetch everything unless the month is specific
+                        dls = dls.filter(GA_Stat.period_name==month)
+                    downloads = 0
+                    for x in dls:
+                        graph.append({ 'x': _get_unix_epoch(d.period_name), 'y': int(d.value)})
+                        downloads += int(d.value)
+                else:
+                    downloads = 'No data'
+                top_packages.append((package, entry.pageviews, entry.visits, downloads, graph_data))
+                graph_data.append({'name':package.title, 'data':graph})
             else:
                 log.warning('Could not find package associated package')
 
-        return top_packages
+        return top_packages,graph_data
 
     def read(self):
         '''
@@ -362,7 +389,8 @@
         entry = q.filter(GA_Url.period_name==c.month).first()
         c.publisher_page_views = entry.pageviews if entry else 0
 
-        c.top_packages = self._get_packages(c.publisher, 20)
+        c.top_packages, graph_data = self._get_packages(c.publisher, 20)
+        c.graph_data = json.dumps(graph_data)
 
         return render('ga_report/publisher/read.html')
 

--- a/ckanext/ga_report/download_analytics.py
+++ b/ckanext/ga_report/download_analytics.py
@@ -123,8 +123,12 @@
                 log.info('Storing publisher views (%i rows)', len(data.get('url')))
                 self.store(period_name, period_complete_day, data,)
 
+                # Make sure the All records are correct.
+                ga_model.post_update_url_stats()
+
                 log.info('Aggregating datasets by publisher')
                 ga_model.update_publisher_stats(period_name) # about 30 seconds.
+
 
             log.info('Downloading and storing analytics for site-wide stats')
             self.sitewide_stats( period_name, period_complete_day )
@@ -180,6 +184,7 @@
                                  end_date=end_date).execute()
 
         packages = []
+        log.info("There are %d results" % results['totalResults'])
         for entry in results.get('rows'):
             (loc,pageviews,visits) = entry
             url = _normalize_url('http:/' + loc) # strips off domain e.g. www.data.gov.uk or data.gov.uk
@@ -294,6 +299,10 @@
 
     def _download_stats(self, start_date, end_date, period_name, period_complete_day):
         """ Fetches stats about language and country """
+        import ckan.model as model
+
+        data = {}
+
         results = self.service.data().ga().get(
                                  ids='ga:' + self.profile_id,
                                  start_date=start_date,
@@ -307,13 +316,40 @@
         if not result_data:
             # We may not have data for this time period, so we need to bail
             # early.
-            log.info("There is no downloads data for this time period")
+            log.info("There is no download data for this time period")
             return
 
-        # [[url, count], [url],count]
-        data = {}
-        for result in result_data:
-            data[result[0]] = data.get(result[0], 0) + int(result[1])
+        def process_result_data(result_data, cached=False):
+            for result in result_data:
+                url = result[0].strip()
+
+                # Get package id associated with the resource that has this URL.
+                q = model.Session.query(model.Resource)
+                if cached:
+                    r = q.filter(model.Resource.cache_url.like("%s%%" % url)).first()
+                else:
+                    r = q.filter(model.Resource.url.like("%s%%" % url)).first()
+
+                package_name = r.resource_group.package.name if r else ""
+                if package_name:
+                    data[package_name] = data.get(package_name, 0) + int(result[1])
+                else:
+                    log.warning(u"Could not find resource for URL: {url}".format(url=url))
+                    continue
+
+        process_result_data(results.get('rows'))
+
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 filters='ga:eventAction==download-cache',
+                                 metrics='ga:totalEvents',
+                                 sort='-ga:totalEvents',
+                                 dimensions="ga:eventLabel",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        process_result_data(results.get('rows'), cached=False)
+
         self._filter_out_long_tail(data, MIN_DOWNLOADS)
         ga_model.update_sitewide_stats(period_name, "Downloads", data, period_complete_day)
 

--- a/ckanext/ga_report/ga_model.py
+++ b/ckanext/ga_report/ga_model.py
@@ -175,6 +175,42 @@
     model.Session.flush()
     model.Session.commit()
     model.repo.commit_and_remove()
+
+def post_update_url_stats():
+
+    """ Check the distinct url field in ga_url and make sure
+        it has an All record.  If not then create one.
+
+        After running this then every URL should have an All
+        record regardless of whether the URL has an entry for
+        the month being currently processed.
+    """
+    query = """select url, pageviews::int, visits::int
+               from ga_url
+               where url not in (select url from ga_url where period_name ='All')"""
+    connection = model.Session.connection()
+    res = connection.execute(query)
+
+    views, visits = {}, {}
+    # url, views, visits
+    for row in res:
+        views[row[0]] = views.get(row[0], 0) + row[1]
+        visits[row[0]] = visits.get(row[0], 0) + row[2]
+
+    for key in views.keys():
+        package, publisher = _get_package_and_publisher(key)
+
+        values = {'id': make_uuid(),
+                  'period_name': "All",
+                  'period_complete_day': 0,
+                  'url': key,
+                  'pageviews': views[key],
+                  'visits': visits[key],
+                  'department_id': publisher,
+                  'package_id': publisher
+                  }
+        model.Session.add(GA_Url(**values))
+    model.Session.commit()
 
 
 def update_url_stats(period_name, period_complete_day, url_data):

--- /dev/null
+++ b/ckanext/ga_report/public/css/ga_report.css
@@ -1,1 +1,33 @@
+.table-condensed td.sparkline-cell {
+  padding: 1px 0 0 0;
+  width: 108px;
+  text-align: center;
+}
+.rickshaw_chart_container {
+  position: relative;
+  height: 300px;
+  margin: 0 auto 20px auto;
+}
+.rickshaw_chart {
+  position: absolute;
+  left: 40px;
+  width: 500px;
+  top: 0;
+  bottom: 0;
+}
+.rickshaw_legend {
+  position: absolute;
+  right: 0;
+  top: 0;
+  margin-left: 15px;
+  background: transparent;
+  max-width: 150px;
+  overflow: hidden;
+}
+.rickshaw_y_axis {
+  position: absolute;
+  top: 0;
+  bottom: 0;
+  width: 40px;
+}
 

--- /dev/null
+++ b/ckanext/ga_report/public/scripts/vendor/d3.layout.min.js
@@ -1,1 +1,1 @@
-
+(function(){function a(a){var b=a.source,d=a.target,e=c(b,d),f=[b];while(b!==e)b=b.parent,f.push(b);var g=f.length;while(d!==e)f.splice(g,0,d),d=d.parent;return f}function b(a){var b=[],c=a.parent;while(c!=null)b.push(a),a=c,c=c.parent;return b.push(a),b}function c(a,c){if(a===c)return a;var d=b(a),e=b(c),f=d.pop(),g=e.pop(),h=null;while(f===g)h=f,f=d.pop(),g=e.pop();return h}function g(a){a.fixed|=2}function h(a){a!==f&&(a.fixed&=1)}function i(){j(),f.fixed&=1,e=f=null}function j(){f.px+=d3.event.dx,f.py+=d3.event.dy,e.resume()}function k(a,b,c){var d=0,e=0;a.charge=0;if(!a.leaf){var f=a.nodes,g=f.length,h=-1,i;while(++h<g){i=f[h];if(i==null)continue;k(i,b,c),a.charge+=i.charge,d+=i.charge*i.cx,e+=i.charge*i.cy}}if(a.point){a.leaf||(a.point.x+=Math.random()-.5,a.point.y+=Math.random()-.5);var j=b*c[a.point.index];a.charge+=a.pointCharge=j,d+=j*a.point.x,e+=j*a.point.y}a.cx=d/a.charge,a.cy=e/a.charge}function l(a){return 20}function m(a){return 1}function o(a){return a.x}function 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--- /dev/null
+++ b/ckanext/ga_report/public/scripts/vendor/d3.v2.js
@@ -1,1 +1,7026 @@
-
+(function() {
+  function d3_class(ctor, properties) {
+    try {
+      for (var key in properties) {
+        Object.defineProperty(ctor.prototype, key, {
+          value: properties[key],
+          enumerable: false
+        });
+      }
+    } catch (e) {
+      ctor.prototype = properties;
+    }
+  }
+  function d3_arrayCopy(pseudoarray) {
+    var i = -1, n = pseudoarray.length, array = [];
+    while (++i < n) array.push(pseudoarray[i]);
+    return array;
+  }
+  function d3_arraySlice(pseudoarray) {
+    return Array.prototype.slice.call(pseudoarray);
+  }
+  function d3_Map() {}
+  function d3_identity(d) {
+    return d;
+  }
+  function d3_this() {
+    return this;
+  }
+  function d3_true() {
+    return true;
+  }
+  function d3_functor(v) {
+    return typeof v === "function" ? v : function() {
+      return v;
+    };
+  }
+  function d3_rebind(target, source, method) {
+    return function() {
+      var value = method.apply(source, arguments);
+      return arguments.length ? target : value;
+    };
+  }
+  function d3_number(x) {
+    return x != null && !isNaN(x);
+  }
+  function d3_zipLength(d) {
+    return d.length;
+  }
+  function d3_splitter(d) {
+    return d == null;
+  }
+  function d3_collapse(s) {
+    return s.trim().replace(/\s+/g, " ");
+  }
+  function d3_range_integerScale(x) {
+    var k = 1;
+    while (x * k % 1) k *= 10;
+    return k;
+  }
+  function d3_dispatch() {}
+  function d3_dispatch_event(dispatch) {
+    function event() {
+      var z = listeners, i = -1, n = z.length, l;
+      while (++i < n) if (l = z[i].on) l.apply(this, arguments);
+      return dispatch;
+    }
+    var listeners = [], listenerByName = new d3_Map;
+    event.on = function(name, listener) {
+      var l = listenerByName.get(name), i;
+      if (arguments.length < 2) return l && l.on;
+      if (l) {
+        l.on = null;
+        listeners = listeners.slice(0, i = listeners.indexOf(l)).concat(listeners.slice(i + 1));
+        listenerByName.remove(name);
+      }
+      if (listener) listeners.pus