diff --git a/experiments/flights/load_data.jl b/experiments/flights/load_data.jl
index a7b3618..ae87255 100644
--- a/experiments/flights/load_data.jl
+++ b/experiments/flights/load_data.jl
@@ -2,8 +2,8 @@ using CSV
 using DataFrames: DataFrame
 
 dataset = "flights"
-dirty_table = CSV.File("datasets/$(dataset)_dirty.csv") |> DataFrame
-clean_data = CSV.File("datasets/$(dataset)_clean.csv") |> DataFrame
+dirty_table = CSV.File("datasets/$(dataset)_dirty.csv", stringtype=String) |> DataFrame
+clean_data = CSV.File("datasets/$(dataset)_clean.csv", stringtype=String) |> DataFrame
 
 times_for_flight = Dict{String, Set{String}}("$fl-$field" => Set() for fl in unique(dirty_table.flight) for field in [:sched_dep_time, :sched_arr_time, :act_dep_time, :act_arr_time])
 for row in eachrow(dirty_table)
diff --git a/experiments/hospital/load_data.jl b/experiments/hospital/load_data.jl
index 20f7d37..b927443 100644
--- a/experiments/hospital/load_data.jl
+++ b/experiments/hospital/load_data.jl
@@ -2,8 +2,8 @@ using CSV
 using DataFrames: DataFrame
 
 dataset = "hospital"
-dirty_table = CSV.File("datasets/$(dataset)_dirty.csv") |> DataFrame
-clean_table = CSV.File("datasets/$(dataset)_clean.csv") |> DataFrame
+dirty_table = CSV.File("datasets/$(dataset)_dirty.csv", stringtype=String) |> DataFrame
+clean_table = CSV.File("datasets/$(dataset)_clean.csv", stringtype=String) |> DataFrame
 
 # In the dirty data, CSV.jl infers that PhoneNumber, ZipCode, and ProviderNumber
 # are strings. Our PClean script also models these columns as string-valued.
@@ -16,4 +16,4 @@ clean_table[!, :ProviderNumber] = map(x -> "$x", clean_table[!, :ProviderNumber]
 
 # Stores sets of unique observed values of each attribute.
 possibilities = Dict(col => remove_missing(unique(collect(dirty_table[!, col])))
-                     for col in propertynames(dirty_table))
\ No newline at end of file
+                     for col in propertynames(dirty_table))
diff --git a/experiments/rents/load_data.jl b/experiments/rents/load_data.jl
index c417fbc..c25685f 100644
--- a/experiments/rents/load_data.jl
+++ b/experiments/rents/load_data.jl
@@ -3,8 +3,8 @@ using DataFrames: DataFrame
 
 # Load data
 dataset = "rents"
-dirty_table = CSV.File("datasets/$(dataset)_dirty.csv") |> DataFrame
-clean_table = CSV.File("datasets/$(dataset)_clean.csv") |> DataFrame
+dirty_table = CSV.File("datasets/$(dataset)_dirty.csv", stringtype=String) |> DataFrame
+clean_table = CSV.File("datasets/$(dataset)_clean.csv", stringtype=String) |> DataFrame
 
 dirty_table[!, :CountyKey] = map(x -> "$(x[1])$(split(x)[1][end])", dirty_table[!, :County])