CSS Robot look Ma, no JavaScript!
So I had this random idea to build a robot in HTML and CSS. It had to move, to be engaging. My rules were simple, and possibly masochistic: I decided I would allow myself to use no JavaScript, and no images. This had to be done just in HTML and CSS, otherwise it would be too easy, and so not enough fun.
Here it is:
Made by @davidcmoulton.
Full size it's a bit big, so it's loading in an iframe to scale it down (it's not responsive in that way). Also, there's what I think is a bug in Chrome whereby its blue light doesn't turn off at the end. This chap uses CSS transformations and animations, so won't work in non-supporting browsers. It's fine in Firefox, Opera Next, Safari, IE10+, etc.
I've no idea where the original artwork came from. I found the image that inspired this on my laptop, so must have come across it it ages ago for something, but I've forgotten what.


interface SingleMessageRecipient : MessageRecipients
A base class for the case of point-to-point messages


--- layout: post authors: ["Tracy Teal"] title: "Assistant Director Position with Data Carpentry" date: 2015-11-30 time: "05:00:00" tags: ["Jobs", "Data Carpentry"] ---
Data Carpentry seeks a full-time Associate Director to lead the organization’s community engagement and education activities, to cultivate a healthy supportive community and provide mentorship and training to current and future instructors. The Associate Director is one of the two key roles providing leadership to Data Carpentry’s core efforts and is expected to shape the organization’s operational functioning, influence training, and contribute to strategic planning.
Data Carpentry is a not-for-profit organization developing and teaching workshops on fundamental data skills needed to conduct research. Its mission is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research. Data Carpentry lessons are intentionally domain specific, and span the life, physical, and social sciences. Data Carpentry workshops create an environment friendly to learners who have little to no prior computational experience, and are designed to empower researchers to apply the skills learned to data driven discovery in their own research.
The Associate Director position is initially funded for 2 years through a grant from the Gordon and Betty Moore Foundation. They will be hired and paid as a contractor of NumFOCUS, Data Carpentry’s fiscal sponsor. Review of applications will begin December 18th, 2015, and the position will remain open until filled.
As the Associate Director, you will have primary responsibility for leading and implementing Data Carpentry’s community engagement efforts. You will be responsible for establishing, coordinating, and sustainably growing a healthy supportive volunteer community of contributors, instructors, and learners. In particular, you will be responsible for working with Software Carpentry to build and engage with a pool of well-trained and mentored Data Carpentry instructors, a key strength of the organization. This includes serving on the mentorship subcommittee, providing guidance and oversight to mechanisms for instructor training and development, and serving as the central point of contact for instructors. You will also be responsible for creating and publishing the organization’s newsletter and promotional materials and overseeing and coordinating the organization’s social media presence. Finally, you will have ample opportunities, and be expected to contribute to lesson development and workshop efforts, and to be involved in informing and implementing Data Carpentry’s strategic plans.
The role reports to, and collaborates closely with the Executive Director of Data Carpentry.
We are looking for someone with a passion for training scientists in the skills needed for data-driven discovery, and who is enthusiastic about creating and growing healthy supportive communities. Being successful in this role requires a versatile individual with initiative and leadership, who can work with a diverse group of volunteers, and who can communicate effectively, both verbally and in writing, with a broad range of research communities.
In addition to the above, highly qualified applicants will meet several or most of the following specific qualifications and experiences:
At least a Bachelor's degree; Master’s, PhD or MBA degree preferred.
Some practical leadership experience, including the demonstrated ability to take initiative, to manage projects, and to coordinate teams.
Experience in education or training, ideally in training researchers.
Some experience in data science or related role, in particular working with data requiring technical skills to process effectively.
Experience working as a researcher, or in a data-driven research environment.
Experience or interest in working on open source projects.
To apply, please send a cover letter, your CV, and a list of 2 or more references to<EMAIL_ADDRESS>with 'Associate Director' in the subject line. For position-related inquiries, please contact Dr. Tracy Teal, the Executive Director of Data Carpentry, also using<EMAIL_ADDRESS>or tkteal@datacarpentry.org.


This document gives a few suggestions to analyse a dataset composed by a list of GPS coordinates
It considers the geographic position of about 200k tweets containing the hashtags #surf
, #windsurf
or #kitesurf
.
This dataset has been built harvesting twitter every day during about 300 days. It is fully available in this Github repository. Basically it looks like the table beside.
# Libraries
library(tidyverse)
library(viridis)
library(hrbrthemes)
library(kableExtra)
options(knitr.table.format = "html")
library(mapdata)
# Load dataset from github
#data <- read.table("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/17_ListGPSCoordinates.csv", sep=",", header=T)
data <- read.table("../Example_dataset/17_ListGPSCoordinates.csv", sep=",", header=T)
# show data
data %>% head(3) %>% kable() %>%
kable_styling(bootstrap_options = "striped", full_width = F)
| homelat | homelon | homecontinent |
|---|---|---|
| 18.28548 | -70.33012 | South America |
| 39.10312 | -84.51202 | North America |
| 19.41095 | -99.27186 | South America |
If your dataset is composed by a few data point only, you can just display them on a map. If you have specific information to display concerning these positions, use an interactive: more information are available when you click data points.
A dot density map is used when the sample size of your dataset is high.
# Get the world polygon
world <- map_data("world")
data %>%
#head(1000) %>%
ggplot( aes(x=homelon, y=homelat)) +
geom_polygon(data = world, aes(x=long, y = lat, group = group), fill="grey", alpha=0.1) +
geom_point(size=0.8, color="#69b3a2", alpha=0.5) +
coord_equal() +
theme_void() +
theme(
panel.spacing=unit(c(0,0,0,0), "null"),
plot.margin=grid::unit(c(0,0,0,0), "cm"),
) +
ggplot2::annotate("text", x = -150, y = -45, hjust = 0, size = 11, label = paste("Where surfers live."), color = "Black") +
ggplot2::annotate("text", x = -150, y = -51, hjust = 0, size = 8, label = paste("data-to-viz.com | 200,000 #surf tweets recovered"), color = "black", alpha = 0.5) +
xlim(-180,180) +
ylim(-60,80) +
scale_x_continuous(expand = c(0.006, 0.006)) +
coord_equal()
ggsave("IMG/Surfer_position.png", width = 36, height = 15.22, units = "in", dpi = 90)
Dotmaps give a good idea about where samples are distributed. However, once dots start to overlap, it gets impossible to distinguish how many of them are displayed on a certain zone. That’s where binning becomes an interesting option.
To create a hexbin map, the territory is divided in many hexagones and the number of sample per hexagone is counted and represented by a color.
data %>%
filter(homecontinent=='Europe') %>%
ggplot( aes(x=homelon, y=homelat)) +
geom_hex(bins=65) +
theme_void() +
xlim(-30, 70) +
ylim(24, 72) +
scale_fill_viridis(
trans = "log",
name="Number of Tweet recorded in 8 months",
guide = guide_legend( keyheight = unit(3, units = "mm"), keywidth=unit(12, units = "mm"), label.position = "bottom", title.position = 'top', nrow=1)
) +
ggtitle( "Where people tweet about #Surf" ) +
theme(
legend.position = c(0.5, 0.09),
text = element_text(color = "#22211d"),
#plot.background = element_rect(fill = "#f5f5f2", color = NA),
#panel.background = element_rect(fill = "#f5f5f2", color = NA),
#legend.background = element_rect(fill = "#f5f5f2", color = NA),
plot.title = element_text(size= 22, hjust=0.1, color = "#4e4d47", margin = margin(b = -0.1, t = 0.4, l = 2, unit = "cm")),
)
# Make the hexbin map with the geom_hex function
ggplot(data, aes(x=homelon, y=homelat)) +
geom_polygon(data = world, aes(x=long, y = lat, group = group), fill="grey", alpha=0.3) +
geom_bin2d(bins=120) +
theme_void() +
scale_fill_viridis(
trans = "log",
name="Number of Tweets",
guide = guide_legend( keyheight = unit(3, units = "mm"), keywidth=unit(12, units = "mm"), label.position = "bottom", title.position = 'top', nrow=1)
) +
theme(
legend.position = c(0.5, 0.09),
) +
ylim(-70, 80)
It is also possible to divide your territory (the world here) in regions other than square or hexagones. This will result in a chloropleth map. Of course, you need the information of the exact shape of your regions.
You can learn more about each type of graphic presented in this story in the dedicated sections. Click the icon below:
Any thoughts on this? Found any mistake? Have another way to show the data? Please drop me a word on Twitter or in the comment section below:
A work by Yan Holtz for data-to-viz.com


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Dear miniEugene users,
miniEugene is
open source, free to use, extend, improve, and distribute.
miniEugene is also provided as:
- a Web Application allowing you to experience and learn the provided rules.
- JAR files to embed miniEugene into your Java application.
To facilitate the usage of the miniEugene JAR file, we provide a Javadoc and
Java examples in our miniEugene's github repository.
- an XML-RPC Web service enables to invoke miniEugene remotely.
To facilitate its usage, we provide a Javadoc. Examples on invoking the
miniEugene XML-RPC (using the Apache XML-RPC Library) can be found
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- Soon, miniEugene will also be available via a Maven repository.
Please
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Enjoy miniEugene!
Your,
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Why embed SVG into HTML?
Scalable Vector Graphics (SVG) offer high-resolution graphics in small file sizes and are the ideal way to display icons and other graphics in your pages. Due to the nature of the vector format, SVG can be scaled to any size without losing image quality.
SVGs can be inserted in a page via an <img>
tag, however, in order to get the most flexibility from SVGs, it is necessary to include the whole SVG code in an inline <svg>
tag. This allows the browser
to override certain aspects of the graphic's rendering using CSS.
Jumpstart includes styles to override the color of the provided SVG icons and other graphics using the theme's color scheme.
In order to take advantage of this, you must embed the SVG code into the page in one of the following two ways.


| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| ConfigSearch
Configuration lookup metadata.
|
| Parameter
SmooksResourceConfiguration Parameter.
|
| ParameterDecodeException
Unable to decode smooks-resource parameter value.
|
| ParameterDecoder
Abstract Parameter Decoder.
|
| ProfileTargetingExpression
Represents a single parsed profile targeting expression.
|
| ProfileTargetingExpression.ExpressionToken
Profile targeting expression token.
|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
SmooksResourceConfigurationChangeListener
SmooksResourceConfiguration change listener. |
| SmooksResourceConfigurationList |
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| ConfigSearch
Configuration lookup metadata.
|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| SmooksResourceConfigurationList |
| XMLConfigDigester
Digester class for an XML
SmooksResourceConfiguration file (.cdrl). |
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
SmooksResourceConfigurationStore
SmooksResourceConfiguration context store. |
| Class and Description |
|---|
SmooksResourceConfigurationStore
SmooksResourceConfiguration context store. |
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| ResourceConfigurationNotFoundException
Thrown when an request is made to load an unknown CDRArchiveEntry.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksResourceConfigurationList |
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| SmooksResourceConfigurationFactory
SmooksResourceConfiguration Factory.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksConfigurationException
Smooks resource configuration exception.
|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
| Class and Description |
|---|
| SmooksResourceConfiguration
Smooks Resource Targeting Configuration.
|
Copyright © 2020. All rights reserved.


Our extensions include automated tests. And they pass!
We use Magento and PSR-2 standards to keep our code clean!
We're building our extensions for Magento 1 and 2
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A B C D E F G H I K L M N P Q R S T V misc
| pbdDMAT-package | Distributed Matrix Methods |
| abs-method | Miscellaneous Mathematical Functions |
| Accessors | Accessor Functions for Distributed Matrix Slots |
| acos-method | Miscellaneous Mathematical Functions |
| all-method | Logical Comparisons |
| any-method | Logical Comparisons |
| apply | Apply Family of Functions |
| apply-method | Apply Family of Functions |
| arithmetic | Arithmetic Operators |
| as.block | Distribute/Redistribute matrices across the process grid |
| as.blockcyclic | Distribute/Redistribute matrices across the process grid |
| as.colblock | Distribute/Redistribute matrices across the process grid |
| as.colcyclic | Distribute/Redistribute matrices across the process grid |
| as.ddmatrix | Non-Distributed object to Distributed Object Converters |
| as.ddmatrix-method | Non-Distributed object to Distributed Object Converters |
| as.matrix | Distributed object to Matrix Converters |
| as.matrix-method | Distributed object to Matrix Converters |
| as.rowblock | Distribute/Redistribute matrices across the process grid |
| as.rowcyclic | Distribute/Redistribute matrices across the process grid |
| as.vector | Distributed object to Vector Converters |
| as.vector-method | Distributed object to Vector Converters |
| asin-method | Miscellaneous Mathematical Functions |
| atan-method | Miscellaneous Mathematical Functions |
| binds | Row and Column binds for Distributed Matrices |
| bldim | Accessor Functions for Distributed Matrix Slots |
| bldim-method | Accessor Functions for Distributed Matrix Slots |
| cbind-method | Row and Column binds for Distributed Matrices |
| ceiling-method | Rounding of Numbers |
| chol | Cholesky Factorization |
| chol-method | Cholesky Factorization |
| chol2inv | Inverse from Choleski (or QR) Decomposition |
| chol2inv-method | Inverse from Choleski (or QR) Decomposition |
| colMax | Arithmetic Reductions: Sums, Means, and Prods |
| colMax-method | Arithmetic Reductions: Sums, Means, and Prods |
| colMeans-method | Arithmetic Reductions: Sums, Means, and Prods |
| colMin | Arithmetic Reductions: Sums, Means, and Prods |
| colMin-method | Arithmetic Reductions: Sums, Means, and Prods |
| colSums-method | Arithmetic Reductions: Sums, Means, and Prods |
| companion | Generate Companion Matrices |
| Comparators | Logical Comparisons |
| condnums | Compute or estimate the Condition Number of a Distributed Matrix |
| cor-method | Covariance and Correlation |
| cos-method | Miscellaneous Mathematical Functions |
| cosh-method | Miscellaneous Mathematical Functions |
| cov-method | Covariance and Correlation |
| cov2cor-method | Covariance and Correlation |
| covariance | Covariance and Correlation |
| crossprod-method | Matrix Multiplication |
| ddmatrix | Distributed Matrix Creation |
| ddmatrix-apply | Apply Family of Functions |
| ddmatrix-chol | Cholesky Factorization |
| ddmatrix-class | Class ddmatrix |
| ddmatrix-constructors | Distributed Matrix Creation |
| ddmatrix-eigen | eigen |
| ddmatrix-lu | LU Factorization |
| ddmatrix-method | Distributed Matrix Creation |
| ddmatrix-norm | Norm |
| ddmatrix-prcomp | Principal Components Analysis |
| ddmatrix-print | Printing a Distributed Matrix |
| ddmatrix-scale | Scale |
| ddmatrix-solve | Solve |
| ddmatrix-summary | Distributed Matrix Summary |
| ddmatrix-sumstats | Basic Summary Statistics |
| ddmatrix-svd | Singular Value Decomposition |
| ddmatrix.local | Distributed Matrix Creation |
| ddmatrix.local-method | Distributed Matrix Creation |
| diag | Distributed Matrix Diagonals |
| diag-constructors | Distributed Matrix Diagonals |
| diag-method | Distributed Matrix Diagonals |
| dim-method | Accessor Functions for Distributed Matrix Slots |
| distribute | Non-Distributed object to Distributed Object Converters |
| eigen | eigen |
| eigen-method | eigen |
| eigen2 | eigen2 |
| exp-method | Miscellaneous Mathematical Functions |
| expm | Matrix Exponentiation |
| expm-method | Matrix Exponentiation |
| extract | Extract or Replace Parts of a Distributed Matrix |
| floor-method | Rounding of Numbers |
| getLocal | getLocal |
| head.ddmatrix | Head and Tail of a Distributed Matrix |
| headsortails | Head and Tail of a Distributed Matrix |
| Hilbert | Generate Hilbert Matrices |
| ICTXT | Accessor Functions for Distributed Matrix Slots |
| ICTXT-method | Accessor Functions for Distributed Matrix Slots |
| insert | Directly Insert Into Distributed Matrix Submatrix Slot |
| is.ddmatrix | Type Checks, Including NA, NaN, etc. |
| is.infinite-method | Type Checks, Including NA, NaN, etc. |
| is.na-method | Type Checks, Including NA, NaN, etc. |
| is.nan-method | Type Checks, Including NA, NaN, etc. |
| is.numeric-method | Type Checks, Including NA, NaN, etc. |
| isdot | Type Checks, Including NA, NaN, etc. |
| isSymmetric | isSymmetric |
| isSymmetric-method | isSymmetric |
| kappa.ddmatrix | Compute or estimate the Condition Number of a Distributed Matrix |
| La.svd | Singular Value Decomposition |
| La.svd-method | Singular Value Decomposition |
| ldim | Accessor Functions for Distributed Matrix Slots |
| ldim-method | Accessor Functions for Distributed Matrix Slots |
| length-method | Accessor Functions for Distributed Matrix Slots |
| lm.fit | Fitter for Linear Models |
| lm.fit-method | Fitter for Linear Models |
| log-method | Miscellaneous Mathematical Functions |
| log10-method | Miscellaneous Mathematical Functions |
| log1p-method | Miscellaneous Mathematical Functions |
| log2-method | Miscellaneous Mathematical Functions |
| lu | LU Factorization |
| lu-method | LU Factorization |
| math | Miscellaneous Mathematical Functions |
| matmult | Matrix Multiplication |
| max-method | Basic Summary Statistics |
| mean-method | Basic Summary Statistics |
| median-method | Basic Summary Statistics |
| min-method | Basic Summary Statistics |
| na | Handle Missing Values in Distributed Matrices |
| na.exclude | Handle Missing Values in Distributed Matrices |
| na.exclude-method | Handle Missing Values in Distributed Matrices |
| NCOL | Accessor Functions for Distributed Matrix Slots |
| ncol | Accessor Functions for Distributed Matrix Slots |
| NCOL-method | Accessor Functions for Distributed Matrix Slots |
| ncol-method | Accessor Functions for Distributed Matrix Slots |
| norm | Norm |
| norm-method | Norm |
| NROW | Accessor Functions for Distributed Matrix Slots |
| nrow | Accessor Functions for Distributed Matrix Slots |
| NROW-method | Accessor Functions for Distributed Matrix Slots |
| nrow-method | Accessor Functions for Distributed Matrix Slots |
| pbdDMAT Control | Some default parameters for pbdDMAT. |
| prcomp | Principal Components Analysis |
| prcomp-method | Principal Components Analysis |
| Printing a Distributed Matrix | |
| print-method | Printing a Distributed Matrix |
| prod-method | Basic Summary Statistics |
| qr | QR Decomposition Methods |
| qr-method | QR Decomposition Methods |
| qr.Q | QR Decomposition Methods |
| qr.Q-method | QR Decomposition Methods |
| qr.qty | QR Decomposition Methods |
| qr.qty-method | QR Decomposition Methods |
| qr.qy | QR Decomposition Methods |
| qr.qy-method | QR Decomposition Methods |
| qr.R | QR Decomposition Methods |
| qr.R-method | QR Decomposition Methods |
| rbind-method | Row and Column binds for Distributed Matrices |
| rcond-method | Compute or estimate the Condition Number of a Distributed Matrix |
| reblock | Distribute/Redistribute matrices across the process grid |
| redistribute | Distribute/Redistribute matrices across the process grid |
| reductions | Arithmetic Reductions: Sums, Means, and Prods |
| round-method | Rounding of Numbers |
| rounding | Rounding of Numbers |
| rowMax | Arithmetic Reductions: Sums, Means, and Prods |
| rowMax-method | Arithmetic Reductions: Sums, Means, and Prods |
| rowMeans-method | Arithmetic Reductions: Sums, Means, and Prods |
| rowMin | Arithmetic Reductions: Sums, Means, and Prods |
| rowMin-method | Arithmetic Reductions: Sums, Means, and Prods |
| rowSums-method | Arithmetic Reductions: Sums, Means, and Prods |
| scale | Scale |
| scale-method | Scale |
| sd | Covariance and Correlation |
| sd-method | Covariance and Correlation |
| show-method | Printing a Distributed Matrix |
| sin-method | Miscellaneous Mathematical Functions |
| sinh-method | Miscellaneous Mathematical Functions |
| solve-method | Solve |
| sparsity | Sparsity of Matrix Objects |
| sparsity-method | Sparsity of Matrix Objects |
| sqrt-method | Miscellaneous Mathematical Functions |
| submatrix | Accessor Functions for Distributed Matrix Slots |
| submatrix-method | Accessor Functions for Distributed Matrix Slots |
| sum-method | Basic Summary Statistics |
| summary | Distributed Matrix Summary |
| summary-method | Distributed Matrix Summary |
| svd | Singular Value Decomposition |
| svd-method | Singular Value Decomposition |
| sweep | Sweep |
| sweep-method | Sweep |
| t | Distributed Matrix Transpose |
| t-method | Distributed Matrix Transpose |
| tail.ddmatrix | Head and Tail of a Distributed Matrix |
| tan-method | Miscellaneous Mathematical Functions |
| tanh-method | Miscellaneous Mathematical Functions |
| tcrossprod-method | Matrix Multiplication |
| transpose | Distributed Matrix Transpose |
| var-method | Covariance and Correlation |
| !=-method | Logical Comparisons |
| %%-method | Arithmetic Operators |
| %*%-method | Matrix Multiplication |
| %/%-method | Arithmetic Operators |
| &-method | Logical Comparisons |
| *-method | Arithmetic Operators |
| +-method | Arithmetic Operators |
| --method | Arithmetic Operators |
| /-method | Arithmetic Operators |
| <-method | Logical Comparisons |
| <=-method | Logical Comparisons |
| ==-method | Logical Comparisons |
| >-method | Logical Comparisons |
| >=-method | Logical Comparisons |
| [-method | Extract or Replace Parts of a Distributed Matrix |
| [<--method | Directly Insert Into Distributed Matrix Submatrix Slot |
| ^-method | Arithmetic Operators |
| |-method | Logical Comparisons |


--- layout: page ---
We exist to encourage and partner with the parents of Jr./Sr. High students to help guide kids through their spiritual journey. Our desire is to see students empowered with the message of the gospel so that they find their identity and security in Christ alone. We meet every Wednesday night to build up and encourage one another with a biblical message so our students can stand firm in their faith and be leaders on our campuses and in our neighborhoods and…. just because its fun!!! On Sunday mornings the Jr. High & Sr. High students attend church with their parents.
Junior High and High School meet together and then break off into separate small groups.
This summer, the Youth of Limestone are heading into the heart of Los Angeles to serve the people who live and work there! We are excited to partner with Center for Student Missions (CSM) to provide our students with a mission opportunity that we wholeheartedly believe will change their lives forever. Limited space available-reserve your spot now!
For more information on the trip, visit the Welcome Center on Sunday morning.
Erika, Keely, and Dennis lead the Junior High Group.
Ben Helton leads the high school group.


The Mars platform provides a collection of ImageJ2 commands for performing a wide variety of common image processing and secondary analysis tasks. This page provides documentation of the ImageJ2 commands and the graphical user interface for molecule classification.
To start learning how to use Mars, we recommend first working through the introductory Let’s Create a MoleculeArchive and exploring the examples, then dig further into the documentation.
Script writers and java developers can get started using the Mars development tutorial. Complete javadoc for the mars-core API can be found here.
| Import archive | Use this command to open an archive. |
| Build archive from table | Generate a MoleculeArchive using a table with a molecule index column. |
| Region Difference Calculator | Add parameter for difference between two regions. |
| Add time | Retrieve and add time information from metadata. |
| Drift Calculator | Calculate drift in position. |
| Drift Corrector | Remove drift from the molecule positions. |
| MSD Calculator | Add mean squared displacement parameter for molecules. |
| Merge Archives | Merges a set of MoleculeArchives. |
| Merge Virtual Stores | Merges a set of virtual MoleculeArchives. |
| Import table | Load csv or yamt format tables. |
| Sort | Sort table rows by column values. |
| Filter | Filter table rows. |
| Build histogram | Bin observations to generate a histogram table |
| Peak Finder | Counting and subpixel localization of molecules. |
| Peak Tracker | Find, subpixel localize, and track molecules. |
| Beam Profile Corrector | Correct images for non-uniform beam profile. |
| Molecule Integrator | Integrate the fluorescence of molecules. |
| Discoidal Averaging Filter | Filter images to sharpen peaks. |
| Gradient Calculator | Calculate the vertical gradient for images. |
| Overlay Channels | Combine different colors into one image set. |
| Change Point Finder | Find kinetic changes points for a MoleculeArchive. |
| Single Change Point Finder | Find single change point positions. |
| Segment Distribution Builder | Build distributions using change point segments. |
| Sigma Calculator | Estimate background sigma level during optimization of change point detection. |


| 453 | (A) | the cheeke of the chayere was charbocle fułł fyn |
| 457 | (C) | ¶ On þe chekys of þe chayere . were charbokeles foure |
| 454 | (D) | þe chekis of þe chayer were charboncles four |
| 453 | (E) | ¶ The chekes of þe chayer . were charbuncles stonys |
| (Ex) | ---- no text ---- | |
| 470 | (L) | þe chekes of þe chayre were chabokles fyne |
| 433 | (P) | þe chekes of þe chayer war charebucle fyne |
| 451 | (U) | The cheke of the chaier / were charbuncle stones |
| (V) | ---- no text ---- |


Have you ever run mix test
and seen red error messages being logged when, in fact, all your tests are passing? This can often occur when adding test coverage for “sad path” code flows that include calls to Logger.error/1
.
Here’s a (slightly contrived) example of some code that demonstrates the problem. The GithubClient.get_user_repos/1
function takes a GitHub username, makes a request to the GitHub API and returns a list of the user’s repositories. Note the call to Logger.error/1
if the GitHub user is not found:
defmodule GithubClient do
require Logger
def get_user_repos(username) do
case HTTPoison.get "https://api.github.com/users/" <> username <> "/repos" do
{:ok, %HTTPoison.Response{status_code: 200, body: body}} ->
body
|> decode_response
|> handle_success(username)
{:ok, %HTTPoison.Response{status_code: 404, body: body}} ->
body
|> decode_response
|> handle_not_found(username)
end
end
def handle_not_found(response, username) do
Logger.error "User " <> username <> " does not exist"
{:error, response}
end
# ...
end
And here’s the corresponding ExUnit tests. The details aren’t super important, but the tests are configured to use a mock server for the test environment.
defmodule GithubClientTest do
use ExUnit.Case
describe "get_user_repos/1 with valid username" do
test "returns the user's repositories" do
{:ok, ["repo01", "repo02" | _tail]} = GithubClient.get_user_repos("valid_username")
end
end
describe "get_user_repos/1 with invalid username" do
test "returns an error tuple" do
{:error, _message} = GithubClient.get_user_repos("invalid_username")
end
end
end
Great– the tests pass! Interspersed in the output, though, you’ll see the red error logging resulting from the passing test of the 404 not found case:
17:32:00.090 [error] User invalid_username does not exist
Right now we only have two tests, but this can get really distracting as the test suite grows. This applies not only to the “sad path” tests that include error logging, but any logging we might do using other functions included with the Logger
module like Logger.info/1
or Logger.debug/1
There are a few ways to solve this. To stop logged output from showing up for all tests add capture_log: true
to your ExUnit config. In a new mix project this would be found in test/test_helper.exs
and look like:
ExUnit.start(capture_log: true)
To capture the logs for a specific test module you can add a moduletag
to the specific test module.
defmodule GithubClientTest do
use ExUnit.Case
@moduletag capture_log: true
#...
end
And that’s it. Look at all that green!
Caught a mistake or want to contribute to the article? Edit this page on GitHub!


MDHT peer client
| Announce peer |
|
| Status: |
| Get peers |
|
| Status: |
Infohash instructions
- Before announcing or retrieving (getting) peers, paste a 40 hex digit string into the Infohash field.
Announcing instructions
- Prepare the Infohash field (see above).
- Use the Announce button to announce to the DHT that this peer is associated with the infohash.
- If the operation is successful, the Status field will show information pertinent to the operation after a short delay.
Retrieving (getting) instructions
- Prepare the Infohash field (see above).
- Use the Get button to retrieve other peers associated with the infohash from the DHT.
- If the operation is successful, the Status field will show information pertinent to the operation after a short delay.
BEP 44 Document


Welcome!
Esepina was a great template, so we've rebuilt it! It's powered by Epsilon, designed like Esepina! And so much powerful! Let's see the features
What is resepina?
Resepina is a rebuilt, recreated, revamped, rethought version of our first Esepina! Including all the lacking elements of our first best seller! Resepina features stuff like, a fixed bottom navigation, a fixed bottom submenu, and all the features offered by Epsilon!
General features for Epsilon!
- Custom jQuery, NOT jQuery Mobile!
- Page Preloader with fader.
- Optimized for all types of mobile screens.
- WebApp Ready.
- AJAX / PHP Contact Form with Validation.
- 3D Image Slider
- Touch Swipe Slider
- Colorbox image gallery.
- Photoswipe image gallery.
- Responsive Google Maps support.
- Full retina support for all graphic elements!
- 850 pixel perfect icons for retina and non retina!
Genearal typography features for Epsilon!
- 1 column text.
- 2 columns text.
- 3 columns text.
- 1 column with icon.
- 2 columns with icon.
- 3 columns with icon.
- Quotes with icon.
- Quotes without icon.
- CSS3 Highlighted Text.
- CSS3 Dropcaps.
- CSS3 Table.
- CSS3 Web 2.0 Buttons.
- CSS3 Minimal Buttons.
- CSS3 User Agent Detector.
- 40 List Icons ( Retina Ready )
- 800 Icons columns ( Retina Ready )
- Thumbnail Blog Post.
- Fullwidth Blog Post.
- Ads widget.
- Recent widget.
- Comment widget.
- Replies widget
General jQuery feautes for Epsilon!
- jQuery 3D Cube Slider.
- jQuery Swipe Slider.
- jQuery Photoswipe Thumbs Gallery.
- jQuery Colorbox 1 Column Gallery.
- jQuery Colorbox 2 Column Gallery.
- jQuery Colorbox Filtrable Gallery.
- jQuery Checkboxes. ( Retina Ready )
- jQuery Radioboxes. ( Retina Ready )
- jQuery On/Off Toggle. ( Retina Ready )
- jQuery +/- Toggle. ( Retina Ready )
- jQuery +/x Toggle. ( Retina Ready )
- jQuery Tabs
- jQuery classic small notifications.
- jQuery minimal big notifications.
- jQuery header notifications.
- jQuery sliding box for sms numbers, emails, etc!
- jQuery dropdown menus


A case-study
a button component I was working on...
This feels a bit complex...

How big should it be?
What makes it composable?
What is the right level of abstraction?
Stand-alone components for primitives?
But how to style in a DRY way?
Style as a stand-alone component?
But adds markup jank...
Compose as sub-components?
Most promising...
Leaving it as-is
is 👌
That itchy feeling you have in the back of your head that something could be more elegant... 24/7.


GI Joe Retaliation (Full Feature Commentary) by Basicc from BetterStream
The Caucasian Race from BetterStream


DJ Radio
Username
Host
username cannot be empty
OR
Room Code
Join
username cannot be empty
room code cannot be empty


An abstract game state.
More...
#include <GamePlayer/GameState.h>
|
| enum | PlayerId { FIRST = 0,
SECOND = 1
} |
| | IDs of the players.
|
| |
|
|
std::shared_ptr< GameState > | response_ |
| | The expected response to this state, or nullptr if not yet determined.
|
| |
◆ fingerprint()
| virtual uint64_t GamePlayer::GameState::fingerprint |
( |
| ) |
const |
|
pure virtual |
Returns a fingerprint for this state.
- Note
- The fingerprint is assumed to be statistically unique.
-
This function must be overridden.
◆ whoseTurn()
| virtual PlayerId GamePlayer::GameState::whoseTurn |
( |
| ) |
const |
|
pure virtual |
Returns the ID of the player that will respond to this state.
- Returns
- The ID of the player that responds to this state
- Note
- This function must be overridden.


{% extends 'base_course.html' %} {% block subtitle %} Team {% endblock subtitle %} {% block top_content %} {% endblock %} {% block main_content %}
Interact with Prof. Geoffrey Fox in real time about the entire course. The schedule for hangout-on-air with the instructor will be displayed below. Please see the instructions below.
You can submit your questions that the instructor can choose to answer. It is important to point out that other viewers will have an option to vote on your question(s).
Feel free to start a hangout-on-air or nomal google hangout with your classmates anytime u. Check Google+ help to see how it works. Also check out the Big Data Community Page on Google+.
Notification will be sent to your email and Google+. Check either of them and click “Yes” to join.
When the event starts, go to the event page on google+ or click the link at the bottom of this page. Click the Video on event page.
Click the “Ask a new question” to submit a question to the instructor.


Funerals begin as town mourns victims of Pakistan train fire
Mourners gather in Mirpurkhas as burials begin for victims of train inferno, which left at least 73 people dead.
Distraught relatives have gathered for the first funerals of some of the scores of people killed when a fire ripped through a crowded train in Pakistan, with many of the victims also residents of a single town.
Sobbing family members crowded an official building in Mirpurkhas overnight on Thursday as the first bodies covered in white cloth began arriving by ambulance from the scene of the disaster, about 90 kilometres (56 miles) from the nearest major urban centre, Rahim Yar Khan in Punjab province.
More:
After morning Friday prayers, with women watching from nearby rooftops, more than 100 men attended the first funeral - of a car mechanic named Mohammad Saleem, who was in his late 40s.
It was held at the Bismillah Mosque, from which at least 42 pilgrims had left to board the train one day earlier bound for a religious festival near Lahore.
Muhammad Imran from Mirpurkhas fractured both his legs and one arm when he jumped from the moving train to save himself, said his brother Mohammad Arif.
"He called me, just saying 'please come here, please save my life'," Arif told Al Jazeera by telephone, a day after one of the worst train accidents in Pakistan's history claimed at least 73 lives.
Imran was on board the Tezgam Express train bound for Raiwind, the central office of the Tableeghi Jamaat religious organisation of which he is a member, to attend its annual 'ijtema' gathering.
Prime Minister Imran Khan has ordered an urgent investigation into the accident and the government will provide monetary compensation of 1.5 million Pakistani rupees ($9,650) to the families of those killed, as well as 500,000 rupees ($3,200) each to those injured.
Witness account
Drivers slowed the train within minutes, but it took significant time for aid to arrive, survivors and their families told Al Jazeera.
By the time they arrived, many had already succumbed to smoke inhalation or flames within the carriages. More than 40 people are being treated for injuries at hospitals in nearby Rahim Yar Khan, Multan and Liaquatpur.
Muhammad Rustam, 40, a shopkeeper from Mirpurkhas had just returned to his seat to get some rest after offering his morning prayers when he says he heard a commotion from amongst other passengers.
"I saw smoke and flames and the air was so thick I couldn't breathe," he told Al Jazeera.
"My little brother, he broke the window of the carriage and the train slowed down after five minutes, that's when we jumped from the train."
Rustam is being treated for smoke inhalation and an injury to his legs from jumping from the train in Rahim Yar Khan.
For others, their injuries were more serious. Rana Tahir, 35, had just had a major operation and his 65-year-old father was awaiting further word from doctors on Friday morning.
"He was sleeping when the fire started, he woke up when he was choking on the smoke," he said.
Twenty-four Mirpurkhas residents are among the injured and at least another 40 are still missing, the town's deputy commissioner, Attaullah Shah, told the AFP news agency.
Officials in Rahim Yar Khan have said many of the bodies are charred beyond recognition and will have to be identified through DNA testing - a process that could take up to one month.
'Negligence'
Arif said that his brother "saw people making tea on a [gas stove] and that fell". Passengers attempted to extinguish the flames with a nearby blanket, said Arif, but when that did not work, they fled.
"It set fire to the carriage, and he jumped from the moving train to save himself."
Imran's version of events appears to corroborate the government's claims that the fire occurred due to a gas stove overturning. Conflicting witness accounts to Pakistani local media, however, have claimed the fire occurred as a result of a short-circuit in an adjacent carriage.
On Thursday, Pakistani Railways Minister Sheikh Rashid Ahmed admitted "negligence" on the part of authorities having allowed the gas stoves onto the train, amid calls for him to resign.
"It is our negligence that passengers were able to bring cylinders and stoves in the train, and as a result this incident happened," he said, in a statement. "We don't have scanners at small stations but at all seven big divisional headquarters we have scanner facility."
Mirpurkhas, a town of some half a million people surrounded by farms and mango orchards, was largely shut down on Friday as businesses closed in mourning.
"These were such people that we can not ever forget them," Mohammad Anwar, the 57-year-old head teacher of a government school, told AFP at the Bismillah Mosque.
Accidents and fires are common on Pakistan's ageing rail network, parts of which continue to use colonial-era infrastructure. Since last year, there have been at least eight major derailments and collisions, as well as three fires.
With additional reporting by Asad Hashim from Islamabad


Authors of The Project
Ayrat
Gimranov
Software Developer | Avid traveler | Former Healthcare Professional. Being a fan of technical sciences and data analysis since teenage years, I am interested in building projects that make our lives easier, and provide same opportunities to anyone in becoming accomplished individuals. My goal is to utilize technology in helping societies develop around the globe.


The OECD Interface¶
The OECD Interface software suite provides a means to discover, download, and convert SDMX-JSON data sets into CSV files. The files can be further processed to select a subset according to set criteria (e.g. industries with electricity), with specific fixed (normalized) column types. The suite covers:
- downloading list of all OECD data set IDs and descriptions;
- downloading list of all data set schema;
- downloading all OECD SDMX-JSON data sets;
- converting all time period data sets to un-pivoted CSV files;
- selecting a subset according to set criteria with specific fixed (normalized) column types
- concatenating this subset of fixed column CSV files into an overall master CSV file.
There is also the means to work with just OECD frequency dimension data, which are a subset of the main time period data sets. This suite covers :
- identifing frequency dimension (annual/quarterly) supporting schema;
- downloading just OECD SDMX-JSON data sets with a frequency dimension;
- converting frequency dimension data sets to multi-indexed CSV files.
The OECD Interface software suite is written for Python 3.5, pandas 0.24.2, and uses the pandasdmx 0.8.2 Python package to convert SDMX-JSON files to multi-indexed CSV files.
Software Suite¶
oecd_keyfamilies.py¶
Downloads the XML data structure schema for the data set IDs using the http query http://stats.oecd.org/RESTSDMX/sdmx.ashx/GetDataStructure/ALL/. The XML schema are then parsed for the data IDs and descriptions, which are saved in a CSV file. Any HTTP comms failures are logged.
Logs: logs/oecd_keyfamilies.logs
Data In: data from OECD server
Data Out: OECD_keys/OECD_key_names.csv
oecd_schema.py¶
Downloads the XML schema for each of the data set IDs using the http query http://stats.oecd.org/restsdmx/sdmx.ashx/GetSchema/, and saves as an XML file. Any HTTP comms failures are logged. Execution should complete in around seven minutes.
Logs: logs/oecd_schama.logs
Data In: data from OECD server; OECD_keys/OECD_key_names.csv
Data Out: OECD_schema/<dataset id>.xml
oecd_json_get_all.py¶
Downloads the SDMX-JSON data set for each data set ID using the http query stats.oecd.org/sdmx-json/data/<id>/all/all. The JSON data is saved without newlines and indentation in order to save space. The program takes three or four hours to download all the files, mainly due to HTTP timeouts or lack of server availability.
Logs: logs/oecd_datasets.log
Data In: data from OECD server; OECD_keys/OECD_key_names.csv
Data Out: OECD_json_datasets/<dataset id>.json
oecd_json_convert_fullset.py¶
Iterates through the OECD_json_datasets directory attemting to load each data set ID JSON file into pandasdmx. Those failing to load due to KeyError or Unicode Errors are logged in the appropriate error CSV file. Those data sets with a time period (which also includes the subset of those with a frequency dimension) are converted to pandas DataFrames and saved to a CSV file.
Logs: error_reports/key_errors.csv; error_reports/unicode_errors.csv, error_reports/no_time_period.csv
Data In: OECD_json_datasets/<id>.json
Data Out: OECD_csv_datasets/<id>.csv
oecd_csv_criteria_merge.py¶
Analyses, selects and merges CSV data sets that match a set of criteria, as follows:
Stage 1. Reads each data set CSV file in the OECD_csv_datasets directory, and looks for evidence of a column matching one of the column criteria. A DataFrame of candidate (matching column) data sets is created.
Stage 2. Iternates through the candidate DataFrames and produces a new DataFrame for each, consisting only of rows that match a content criteria for the column of interest. If the resulting DataFrame is not empty (i.e. content was found), then stage 3 is carried out on that DataFrame.
Stage 3. This standardises the column names to a given template (YEAR, series, INDUSTRY, MEASURE, NATION). First there is a tuple-column clean-up, followed by the column rename, and a futher clean up and rename of alternate industry and country column names. Finally any additional columns that are not in the template are merged together as tuples under the MEASURE column. If the MEASURE column does not exist it is created. Each data set reaching this stage is saved with an _C in the file name.
Stage 4. This takes all the _C files from stage 3, loads them, and concatenates them into a single data set and saved as oecd_merged.csv.
Logs: none
Data In: OECD_csv_datasets/<id>.csv
Data Out: OECD_csv_processed/<id>_C.csv, OECD_csv_processed/oecd_merged.csv
Typical Workflow¶
As a program can rely on the output of another program, they should be run in the following order:
- oecd_keyfamilies.py
- oecd_schema.py (optional)
- oecd_json_get_all.py
- ocecd_json_convert_fullset.py
- oecd_csv_criteria_merge.py
Utilities¶
Additions to the main software suite for diagnostic purposes, or for working on a smaller number of data sets.
identify_freq_schema.py¶
Parses the XML schema for each data set ID to see if it supports a frequency dimension such as annual, quarterly, etc. Data set IDs that support a frequency dimension are stored in a CSV file.
Logs: none
Data In: OECD_keys/OECD_key_names.csv; OECD_schema/<dataset id>.xml
Data Out: OECD_keys/FREQ_key_names.csv
oecd_json_get_freq.py¶
Only downloads the SDMX-JSON data set for each data set ID having a frequency domain, using the http query stats.oecd.org/sdmx-json/data/<id>/all/all. The JSON data is saved without newlines and indentation in order to save space.
Logs: logs/oecd_datasets.log
Data In: data from OECD server; OECD_keys/FREQ_key_names.csv
Data Out: OECD_json_datasets/<dataset id>.json
oecd_json_convert_freq.py¶
Uses the previously generated list of SDMX-JSON files supporting the frequency domain to read in the corresponding JSON files, load them into pandasdmx, produce a pandas data frame for annual data, and save to a multi-indexed CSV file.
Logs: error_reports/freq_unicode_errors.csv; error_reports/freq_key_errors.csv
Data In: OECD_json_datasets/<dataset id>.json; OECD_keys/FREQ_key_names.csv
Data Out: OECD_csv_datasets_A/<dataset id>_A.csv
oecd_json_get_timedout.py¶
Downloads the SDMX-JSON data set for each data set ID having previously been noted as unavailable due to a request timeout, using the http query stats.oecd.org/sdmx-json/data/<id>/all/all.
NOTE: if a data set is successfully retrieved it is not removed from timed_out.csv. At the moment this has to be corrected manually. timed_out.csv and http500.csv are also manually created at the moment.
Logs: logs/timedout.log
Data In: data from OECD server; error_reports/timed_out.csv
Data Out: OECD_json_datasets/<dataset id>.json
Issues and Limitations¶
OECD Data Availability¶
Potentially there are 1198 OECD data sources available. However, at time of writing 101 are not accessible due to the server not being available (HTTP error 500), and 55 are not accessible due to the HTTP data request timing out (a total of 156 data sources not available). Unavailable data sources have been marked up in a spreadsheet.
pandasdmx¶
The 0.8.2 version of the pandasdmx Python package, though able to load all time period SDMX-JSON data (excluding the KeyError issues) is only able to convert to pandas DataFrames those with a frequency dimension present. However, frequency dimension data sets only account for 219 data sources, of which only 128 of these are available from the OECD data server due to accessibility issues. This leaves 979 data sources without a frequency dimension. To solve this in-house code was written to convert all time period data to pandas DataFrames allowing access to 835 data sets.
The following is a summary of know issues with pandasdmx 0.7.0:
Unicode Errors¶
pandasdmx throws a Unicode exception for 63 data sets. One is due to malformed JSON (use of non-escaped double quotes), the rest are in Portuguese, caused by a capital A with an inflexion. Apart from the malformed JSON data set, there is no move to fix this as the Portuguese data is a duplicate of data available in English.
KeyError exception¶
pandasdmx is unable to read in data due to throwing a KeyError exception for some non-frequency dimension data sets.
Unable to create DataFrame¶
pandasdmx is unable to create a pandas DataFrame for non-frequency dimension data sets. However in-house code has been written to convert the JSON-SDMX data loaded into pandasdmx into pandas DataFrames.


{% extends "layout.html" %} {% block page_title %} Which services does your business provide? - Estate agents - Anti-money laundering registration - GOV.UKAnti Money Laundering Registration {% endblock %} {% block content %} {% include "includes/phase_banner_research.html" %} Which services does your business provide? This section is: Estate Agency Business Select all that apply Which services does your business provide? Residential estate agency services Commercial estate agency services Auctioneering Relocation agent services Business transfer agent services Asset management Land management Development company services Social housing provision {% endblock %}
This section is: Estate Agency Business
Select all that apply