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diff --git a/posts/AUC_and_economics_of_predictive_modelling.org b/posts/AUC_and_economics_of_predictive_modelling.org
index 720360a64155ed09701e5c97236e0f4a627933d3..9735c27392ae2280bdd7fb22306d61db19d6503f 100644 (file)
--- a/posts/AUC_and_economics_of_predictive_modelling.org
+++ b/posts/AUC_and_economics_of_predictive_modelling.org
@@ -19,7 +19,7 @@ This line represents combinations of true positive rates and false positive rate
 
 #+caption: ROC space plot with indifference line.
 #+attr_html: :width 300
-[[file:assets/indifference-line.png]]
+[[file:../assets/indifference-line.png]]
 
 An optimal and viable cutoff is the point of the tangent of the left-most parallel line to the indifference line and the ROC curve.
 

diff --git a/posts/Half_Time_Oranges.org b/posts/Half_Time_Oranges.org
index 99b33a2b26c80439453edf80e742f0c59ed0925e..57006d411b50a08311e5fd5204aa043d71150e52 100644 (file)
--- a/posts/Half_Time_Oranges.org
+++ b/posts/Half_Time_Oranges.org
@@ -7,5 +7,5 @@ Moving countries means learning about a new culture. Even after 10 years in Aust
 
 #+caption: Bag of oranges labelled half-time oranges
 #+attr_html: :class img-fluid :alt Bag of oranges labelled half-time oranges
-[[file:assets/half-time-oranges.png]]
+[[file:../assets/half-time-oranges.png]]
 

diff --git a/posts/I_bought_a_balance_board.org b/posts/I_bought_a_balance_board.org
index 27c34afc465ceb471e9adc29319dc80a248b6c56..6c76256df163b789d91a2eec1cdd440199ae43eb 100644 (file)
--- a/posts/I_bought_a_balance_board.org
+++ b/posts/I_bought_a_balance_board.org
@@ -24,4 +24,4 @@ Keep on riding :)
 
 #+CAPTION: Barefoot & Salty XL Surf balance board
 #+ATTR_HTML: :class img-fluid :alt Barefoot & Salty XL Surf balance board
-[[file:assets/balance-board.png]]
+[[file:../assets/balance-board.png]]

diff --git a/posts/Innovate_WA_2023.org b/posts/Innovate_WA_2023.org
index e2d8c6c494c74eca39333913472c657df33959e2..1d39b0be75f3264386a15d7650cc24d4a59061de 100644 (file)
--- a/posts/Innovate_WA_2023.org
+++ b/posts/Innovate_WA_2023.org
@@ -5,7 +5,7 @@
 Public Sector Network's Innovate WA conference today started with a poll amongst the attendees, asking for our biggest goal or aspiration for the public sector in Western Australia. Overwhelmingly, collaboration came out as the main opportunity for contributors and decision makers in the sector. Closely linked was the desire to better share data between government departments and functions. In his opening address, WA Minister for Innovation Stephen Dawson touched on that, mentioning the State Government is planning to introduce legislation later this year around privacy and responsible data sharing. This will be the first time WA government agencies and state-owned enterprises will be subject to privacy laws, and at the same time is hoped to encourage data sharing that should result in better outcomes for citizens of the state.
 
 #+caption: poll results
-[[file:assets/Innovate_WA_2023.png]]
+[[file:../assets/Innovate_WA_2023.png]]
 
 Greg Italiano, the state government's CIO, gave an update on the digital transformation of the WA government. Delivering a digital identity has been a key milestone so far - no easy task given the many arms of government at state and federal level that were involved. He acknowledged the Service WA app doesn't offer a compelling range of services to deal with government so far though - finding your best deal for refueling and notices on shark detections probably don't top the list of needs for many.
 

diff --git a/posts/NYC_taxi_calendar_fun.org b/posts/NYC_taxi_calendar_fun.org
index ef0f2c40d8c43c9042ea8b3b90e6a3b88a7777ce..1947c2f7acb4c33acef96dcd91259ecd9d94411b 100644 (file)
--- a/posts/NYC_taxi_calendar_fun.org
+++ b/posts/NYC_taxi_calendar_fun.org
@@ -44,12 +44,12 @@ Next, I moved on to the actual analysis work in R.
 Looking at the number of trips per day on a calendar heatmap reveals something odd - the first week of August has very few rides compared to any other week. While it's known people in NY tend to leave the city in August, this drop is odd.
 
 #+caption: Calendar heatmap of trips
-[[file:assets/NYCtaxitripsNbrPlot.png]]
+[[file:../assets/NYCtaxitripsNbrPlot.png]]
 
 Deciding to ignore August altogether, and zooming in on occupancy rate of the taxis rather than the absolute number or rides, reveals an interesting insight - people travel together far more in weekends and on public holidays!
 
 #+caption: Occupancy heatmap
-[[file:assets/NYCtaxioccupancyPlot.png]]
+[[file:../assets/NYCtaxioccupancyPlot.png]]
 
 Just looking at the calendar heatmap it's possible to determine 1 Jan 2013 was a Tuesday and point out Memorial Day as the last Monday of May, Labour day in September, Thanksgiving day and even Black Friday at the end of November, and of course the silly season at the end of the year!)
 

diff --git a/posts/Perth_solar_exposure_over_year.org b/posts/Perth_solar_exposure_over_year.org
index 7e282fc3b40465bd7f581c7b4edcdc0783139dd4..a84862829bc86972ea02018bd04be026f2e0cb78 100644 (file)
--- a/posts/Perth_solar_exposure_over_year.org
+++ b/posts/Perth_solar_exposure_over_year.org
@@ -19,7 +19,7 @@ available on our roofs throughout the year.
 
 #+caption: Perth solar exposure variation
 #+ATTR_HTML: :class img-fluid :alt Perth solar exposure variation
-[[file:assets/solarExposure.png]]
+[[file:../assets/solarExposure.png]]
 
 __Table:__ Average solar exposure per m<sup>2</sup> in Kings Park, Perth Jan 2017
 to Jun 2023.

diff --git a/posts/Ronald_McDonald_House.org b/posts/Ronald_McDonald_House.org
index c27355dc9d600e6d7be208850d62b61926003061..85211596f99cc5eeff3f9de930baa0b208edff89 100644 (file)
--- a/posts/Ronald_McDonald_House.org
+++ b/posts/Ronald_McDonald_House.org
@@ -7,6 +7,6 @@ Synergy's Pricing and Portfolio team took the opportunity at the end of the year
 
 #+caption: Group picture with the house manager
 #+ATTR_HTML: :class img-fluid :alt Group picture with the house manager
-[[file:assets/group-photo-RMDH.png]]
+[[file:../assets/group-photo-RMDH.png]]
 
 We prepared lunch for the families and volunteers in the house, followed by a tour of the place by its manager. Hearing some of the stories about the children was heartbreaking and uplifting at the same time. During extremely demanding times for a family, both mentally and financially, the volunteers and the team at Ronald McDonald House do a great job in making life slightly easier for them. It was great to be able to contribute a little bit to that this Christmas period.

diff --git a/posts/Setting_up_an_Analytics_Practice.org b/posts/Setting_up_an_Analytics_Practice.org
index 96f6c543ca540db95a410b16832491857d8c3062..ba57731e9bcd7de907a999712caee77f2cf1e87e 100644 (file)
--- a/posts/Setting_up_an_Analytics_Practice.org
+++ b/posts/Setting_up_an_Analytics_Practice.org
@@ -4,6 +4,6 @@
 
 #+CAPTION: Mindmap on setting up analytics practice
 #+ATTR_HTML: :class img-fluid :alt Mindmap on setting up analytics practice
-[[file:assets/Setting_up_an_analytics_practice.png]]
+[[file:../assets/Setting_up_an_analytics_practice.png]]
 
 Ideas courtesy of Abhi Seth, Head of Data Science & Analytics at Honeywell Aerospace.

diff --git a/posts/WA_roads_in_R_using_sf.org b/posts/WA_roads_in_R_using_sf.org
index dd12d7f01bf6a26cdb150f8c1ef6f2f2fa568dcc..03f954efdcf7dda18262caa04408aa4208a0c36f 100644 (file)
--- a/posts/WA_roads_in_R_using_sf.org
+++ b/posts/WA_roads_in_R_using_sf.org
@@ -14,7 +14,7 @@ colour = "red")
 
 #+caption: Map of WA state roads
 #+ATTR_HTML: :class img-fluid :alt Map of WA state roads
-[[file:assets/state-roads.png]]
+[[file:../assets/state-roads.png]]
 
 Courtesy of the development version of ggplot2 - geom_sf is not yet
 available in the version on CRAN.

diff --git a/posts/explore-AU-road-fatalities.org b/posts/explore-AU-road-fatalities.org
index 29dfb0a6b95c83ef24f3b0df31a2ff0305a6435b..90945e71cd053ac38c1ecee61faed42bb0fbb92b 100644 (file)
--- a/posts/explore-AU-road-fatalities.org
+++ b/posts/explore-AU-road-fatalities.org
@@ -22,13 +22,13 @@ differences noticeable between states? Or by gender?
 
 #+CAPTION: Overall trendline
 #+ATTR_HTML: :class img-fluid :alt Overall trendline
-[[file:assets/explore-AU-road-fatalities_files/fatalitiesTrends-1.png]]
+[[file:../assets/explore-AU-road-fatalities_files/fatalitiesTrends-1.png]]
 #+CAPTION: Trendlines by Australian state
 #+ATTR_HTML: :class img-fluid :alt Trendline by Australian state
-[[file:assets/explore-AU-road-fatalities_files/fatalitiesTrends-2.png]]
+[[file:../assets/explore-AU-road-fatalities_files/fatalitiesTrends-2.png]]
 #+CAPTION: Trendlines by gender
 #+ATTR_HTML: :class img-fluid :alt Trendlines by gender
-[[file:assets/explore-AU-road-fatalities_files/fatalitiesTrends-3.png]]
+[[file:../assets/explore-AU-road-fatalities_files/fatalitiesTrends-3.png]]
 
 ** What age group is most at risk in city traffic?
 :PROPERTIES:
@@ -52,7 +52,7 @@ fatalities %>%
 
 #+CAPTION: histogram
 #+ATTR_HTLM: :class img-fluid :alt histogram
-[[file:assets/explore-AU-road-fatalities_files/fatalities.cityTraffic-1.png]]
+[[file:../assets/explore-AU-road-fatalities_files/fatalities.cityTraffic-1.png]]
 
 ** Hypothesis
 :PROPERTIES:
@@ -76,10 +76,10 @@ To answer the question, I produce a density plot and a boxplot.
 
 #+CAPTION: densityplot
 #+ATTR_HTML: :class img-fluid :alt densityplot
-[[file:assets/explore-AU-road-fatalities_files/fatalitiesSegmentation-1.png]]
+[[file:../assets/explore-AU-road-fatalities_files/fatalitiesSegmentation-1.png]]
 #+CAPTION: boxplot
 #+ATTR_HTML: :class img-fluid :alt boxplot
-[[file:assets/explore-AU-road-fatalities_files/fatalitiesSegmentation-2.png]]
+[[file:../assets/explore-AU-road-fatalities_files/fatalitiesSegmentation-2.png]]
 
 Some further statistical analysis does confirm the hypothesis!
 
@@ -139,4 +139,4 @@ yet considered in this quick look at the contents of the dataset.
 
 #+CAPTION: quantile-quantile plot
 #+ATTR_HTML: :class img-fluid :alt quantile-quantile plot
-[[file:assets/explore-AU-road-fatalities_files/fatalitiesDistComp-1.png]]
+[[file:../assets/explore-AU-road-fatalities_files/fatalitiesDistComp-1.png]]

diff --git a/posts/facet_labels_in_R.org b/posts/facet_labels_in_R.org
index f0961580f05b26e11d34c8d50761c8e76f864cba..609a8ee2f740914a109b33cd1ee291d84e0696e0 100644 (file)
--- a/posts/facet_labels_in_R.org
+++ b/posts/facet_labels_in_R.org
@@ -30,4 +30,4 @@ ggplot(outputs, aes(x = date_var,y = value_var), alpha = 0.8) +
 Output: 
 #+CAPTION: Example plot with 2 facets labelled Segment B and Segment A.
 #+ATTR_HTML: :class img-fluid :alt Example plot with 2 facets labelled Segment B and Segment A.
-[[file:assets/2016-10-05_R-facet.png]]
+[[file:../assets/2016-10-05_R-facet.png]]

diff --git a/posts/fertile-summers.org b/posts/fertile-summers.org
index 223ebeb5dddf683b9fe0d5151dced1317e0385d1..693a48b4b5031ded321038b84ddeff8bd53c4b79 100644 (file)
--- a/posts/fertile-summers.org
+++ b/posts/fertile-summers.org
@@ -9,7 +9,7 @@ under!
 
 #+CAPTION: seasonal subseries plot Australian births by month 1996-2014
 #+ATTR_HTML: :class img-fluid :alt seasonal subseries plot Australian births by month 1996-2014
-[[file:assets/au-births-seasonal-subseries-plot.png]]
+[[file:../assets/au-births-seasonal-subseries-plot.png]]
 
 In preparing the graph above (a "seasonal subseries plot"), I could not
 help but notice the spike in the numbers for each month around 2005. It

diff --git a/posts/house_price_evolution.org b/posts/house_price_evolution.org
index 5d2b0a07651f172e38f4c8156add54b37475f608..418b02df4d5cca77dce0f05449765b1ea5bd127f 100644 (file)
--- a/posts/house_price_evolution.org
+++ b/posts/house_price_evolution.org
@@ -27,7 +27,7 @@ every 4 years.
 
 #+CAPTION: Table with evolution of house prices
 #+ATTR_HTML: :class img-fluid :alt Table with evolution of house prices
-[[file:assets/house-price-evolution-table.png]]
+[[file:../assets/house-price-evolution-table.png]]
 
 Of course, the AUD/EUR exchange rate needs to be taken into account as
 well. I've adjusted the prices using the weighted average monthly
@@ -37,7 +37,7 @@ between the currencies of the 2 nations.
 
 #+CAPTION: Plot with evolution of house prices in EUR
 #+ATTR_HTML: :class img-fluid :alt Plot with evolution of house prices in EUR
-[[file:assets/house-price-evolution-plot.png]]
+[[file:../assets/house-price-evolution-plot.png]]
 
 Comparing the first 3 months of 2021 to the first 3 months of 2023, the
 relative price of an Australian residential dwelling has gone to 92% of

diff --git a/posts/loans_and_semi_Markov_chains.org b/posts/loans_and_semi_Markov_chains.org
index 08d801d5e6288d024444a36d4d392333d761c152..f1a8bdba935dd86ea9b2628843bd5f30782d3ec4 100644 (file)
--- a/posts/loans_and_semi_Markov_chains.org
+++ b/posts/loans_and_semi_Markov_chains.org
@@ -11,7 +11,7 @@ periods of time.
 
 #+CAPTION: Actual vs predicted loan vintage performance.
 #+ATTR_HTML: :width 400 :class img-fluid :alt Actual vs predicted loan vintage performance.
-[[file:assets/rollRateBeware.png]]
+[[file:../assets/rollRateBeware.png]]
 
 The solid lines are the result of applying an average transition matrix
 6 times (the model's predicted outcome). The dashed lines are the actual

diff --git a/posts/managing_data_science_work.org b/posts/managing_data_science_work.org
index c6fd2f11049dfc500e923293f52ed93885b24d72..add16298aecda5ee5e5e5a72a89a331d59b44b39 100644 (file)
--- a/posts/managing_data_science_work.org
+++ b/posts/managing_data_science_work.org
@@ -13,7 +13,7 @@ steps based on what's learned in the later steps.
 
 #+CAPTION: CRISP-DM
 #+ATTR_HTML: :class img-fluid :alt CRISP-DM
-[[file:assets/crisp-dm-diagram.png]]
+[[file:../assets/crisp-dm-diagram.png]]
 
 It doesn't put too great an emphasis on scheduling the activities, but
 focuses on the value creation.
@@ -27,6 +27,6 @@ pitfall to skip the last step - deploying the model / acting.
 
 #+CAPTION: OODA loop ([[Image by Patrick Edwin Moran - Own work, CC BY 3.0|https://commons.wikimedia.org/w/index.php?curid=3904554]])
 #+ATTR_HTML: :class img-fluid :alt OODA loop
-[[file:assets/OODA-diagram.png]]
+[[file:../assets/OODA-diagram.png]]
 
 

diff --git a/posts/obtaining_SLIP_data_using_R.org b/posts/obtaining_SLIP_data_using_R.org
index afd8261de1c4b5402d8d1697f7d52fa3cccaa120..1d20221839b0a58ad93dbc48dfc7631acdcbe713 100644 (file)
--- a/posts/obtaining_SLIP_data_using_R.org
+++ b/posts/obtaining_SLIP_data_using_R.org
@@ -48,4 +48,4 @@ ranked by student numbers):
 
 #+CAPTION: Pupil density in Western Australian high schools
 #+ATTR_HTML: :class img-fluid :alt Pupil density in Western Australian high schools
-[[file:assets/SLIP_WA_schools.png]]
+[[file:../assets/SLIP_WA_schools.png]]

diff --git a/posts/spatial_indexes_to_plot_income_per_postal_code_in_Australian_cities.org b/posts/spatial_indexes_to_plot_income_per_postal_code_in_Australian_cities.org
index c12176c5cd91a35b39be16067247f368a2e6e67e..07d7b38b3c28ebc14663c03024186704a254aeda 100644 (file)
--- a/posts/spatial_indexes_to_plot_income_per_postal_code_in_Australian_cities.org
+++ b/posts/spatial_indexes_to_plot_income_per_postal_code_in_Australian_cities.org
@@ -23,7 +23,7 @@ key cities in a single image.
 
 #+CAPTION: Income distribution in major AU cities
 #+ATTR_HTML: :class img-fluid :alt Income distribution in major AU cities
-[[file:assets/AUCitiesIncomeDistribution.gif]]
+[[file:../assets/AUCitiesIncomeDistribution.gif]]
 
 The full code is available on my git server for you to clone using
 =git clone git://git.vanrenterghem.biz/R/project-au-taxstats.git=.

diff --git a/posts/survival_analysis_in_fintech.org b/posts/survival_analysis_in_fintech.org
index 18cad1e5db17b09f9ffde02fc6e89279fbfababa..4c5dd42e5ca26b35e17aefe442da16b64b035791 100644 (file)
--- a/posts/survival_analysis_in_fintech.org
+++ b/posts/survival_analysis_in_fintech.org
@@ -46,7 +46,7 @@ in what is known as a cumulative incidence curve.
 
 #+CAPTION: Survival/incidence curve and risk table
 #+ATTR_HTML :width 442 :class img-fluid :alt Survival/incidence curve and risk table
-[[file:assets/surv-curve-risk-table.png]]
+[[file:../assets/surv-curve-risk-table.png]]
 
 Underneath the plot, a risk table is added with no effort by adding
 =risk.table = TRUE= as parameter for =ggsurvplot=.