Data Analytic
Data Analytic
  • Видео 275
  • Просмотров 452 146
Absolute Beginners:Your very first Power BI Chart
If you have never used Power BI then this video is for you. This is absolute basics of creating a chart.
It does not assume anything, We start with a very simple dataset which we create on the fly and then explain simple concepts of creating a bar chart and enhancing it to look good and practical.
We specialise in practical, concise and sharp videos on various data related topics like statistics, visualisation, automation, validation.
We mainly create videos on R, Python and other related technologies which compliment the data science needs.
If you are beginner then watch this video to get started
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GGPLOT c...
Просмотров: 17

Видео

Creating Stunning Histograms in R
Просмотров 9421 день назад
🚀 SjPlot Histograms! 🚀 📊✨ | histograms | Beginner's Guide Mastering Data Visualization with sjPlot: Creating Stunning Histograms in R 🚀 📊✨ 🔍 Topics Covered: ▶Libraries used ▶Create sample data ▶Create histogram ▶Add mean, std deviation range in the chart ▶More customisations ▶Test different themes 🎓 Learn More: Subscribe for more tutorials and don't forget to hit the bell icon to stay updated o...
Rowwise operations in DPLYR, When to use it, don't get wrong results.
Просмотров 1443 месяца назад
when to use ROWWISE in dplyr! 🚀 📊✨ 🔍 Topics Covered: ▶️Use the libraries ▶️Create a dummy dataset ▶️Learn to do a rowwise operations in dplyr ▶️See the affect of not using the rowwise command 🎓 Learn More: Subscribe for more tutorials and don't forget to hit the bell icon to stay updated on our latest content! We have hundred of videos covering various aspects of Data Analytics. Our aim is to p...
Add a WaterMark in your ggplot charts using your own text !!
Просмотров 1,6 тыс.4 месяца назад
Puttint a water mark like the word confidential, draft or any other text in your ggplot charts. No image needed, just follow this method for a very easy way to get the watermark charts. Why use the watermarks in your charts. The answer is simple, in your Word documents you use the Draft or Confidential watermarks, you can do exactly the same thing with your ggplot charts. 🚀 Generate WaterMark i...
Marginal Plot in R | Simple and Grouped Marginal Plots | Publication ready
Просмотров 1304 месяца назад
Marginal plots in r Marginal distribution with ggplot2 and ggExtra! 🚀 📊✨ | Marginal distribution | Hands-On Tutorial 🔍 Topics Covered: ▶️ Libraries to be used ▶️ Scatter Plot ▶️ Add marginal plots to Scatter Plot ▶️Grouped Marginal Plots 🎓 Learn More: Subscribe for more tutorials and don't forget to hit the bell icon to stay updated on our latest content! We have hundred of videos covering vari...
Assign fixed colours to each categorical variable in GGPLOT! 🚀 📊✨
Просмотров 954 месяца назад
🚀 The colours allocated to each category should be uniform in your reports. 🚀 📊✨ | GGPLOT | Beginner's Guide Assign fixed colours to each categorical variable in GGPLOT! 🚀 📊✨ 🔍 Topics Covered: ▶️Libraries to be used ▶️Create sample dataset ▶️Create charts using character variable ▶️Create charts using factor variable ▶️Create a colour palette ▶️Discover the technique to use fixed colours for ca...
🚀 Sophisticated Pie Chart using GGPLOT and GLUE 🚀 📊✨
Просмотров 1224 месяца назад
🚀 Sophisticated Pie Chart using GGPLOT and GLUE! 🚀 📊✨ | GLUE in R | Tips and Tricks Sophisticated Pie Chart using GGPLOT and GLUE! 🚀 📊✨ 🔍 Topics Covered: ▶️Create sample data ▶️Creata a piechart using gglot ▶Add your own fill colours ▶Control the starting angle of your chart ▶Add a dynamic labels in your chart using GLUE 📁 Resources: 🎓 Learn More: Subscribe for more tutorials and don't forget t...
Use GLUE in RMD to generate dynamic description about your data in R Markdown! 🚀 📊✨
Просмотров 1415 месяцев назад
🔍 Topics Covered: ▶️Create R Markdown ▶️Add a chart in R Markdown ▶️Add dynamic text based on your data using GLUE library ▶️Create headings and subheading using R Chunks 📁 Resources: - [R Programming Guide](link_to_guide) - [Sample Dataset](link_to_dataset) 🎓 Learn More: Subscribe for more tutorials and don't forget to hit the bell icon to stay updated on our latest content! We have hundred of...
Customizing RMarkdown Reports with Your Own Word Template
Просмотров 3566 месяцев назад
Welcome to our tutorial on taking your RMarkdown reports to the next level by incorporating your unique style using a custom Word template! 🎨✨ In this session, we'll guide you through the process of changing the look and feel of your RMarkdown documents by integrating your personalized Word template. #rmarkdown 🔍 What you'll learn: Introduction to Custom Word Templates: Understand the importanc...
R Programming: Comply with data privacy rules by easily hiding Small Numbers in Your Reports 📊✨
Просмотров 1246 месяцев назад
Practical guide to create summaries which conform to data privacy rules by suppressing small numbers in automatically. Elegant, simple and publication ready. #4k #dataprivacy #datagovernance How to Effectively Suppress Small Numbers in Your Reports 🚀 Data Visualization Masterclass: Creating a Stunning Scatter Plot with Boxplot, Median, and Mean using ggplot2 in R | gtsummary | Hands-On Tutorial...
Scatter Plot with lots of extras | showing Trendline, Equation, Boxplot, Median, Mean using ggplot2.
Просмотров 1757 месяцев назад
What sets this tutorial apart is our focus on incorporating boxplot, median, and mean into the scatter plot for comprehensive data representation.. In this video we show you how to create a Scatter Plot 1. Add the trendline in it 2. Add the equation and the R squared values 3. Add the mean line for the x and y axis 4. Add the box plot for X and Y Axis values showing the P26, P75, Median, Mean a...
Create Stunning Boxplot Charts in R using sjPlot | Publication ready | Hands-On Tutorial 📊 #DataViz
Просмотров 3417 месяцев назад
🚀 Create Stunning Boxplot Charts in R using sjPlot | Publication ready | Hands-On Tutorial Create stunning BoxPlot with Mean using sjPlot library in r. Whether you're a beginner or an experienced data scientist, this video has something for everyone! 📊 #DataViz #RStats 🔍 Topics Covered: ▶️ Libraries used for creating Dumbbell Chart ▶️ Create a Wide dataset for our chart ▶️ Create Dumbbell Chart...
Create Stunning Dumbbell Charts in R 📊 #DataViz #RStats
Просмотров 1568 месяцев назад
🚀 Create Stunning Dumbbell Charts in R | Data Visualization | Hands-On Tutorial Create stunning Dumbbell Charts which are great for data comparison. Whether you're a beginner or an experienced data scientist, this video has something for everyone! 🔍 Topics Covered: ▶️ Libraries used for creating Dumbbell Chart ▶️ Create a Wide dataset for our chart ▶️ Create Dumbbell Chart using ggcharts ▶️ Emh...
sjPlot Bar Chart Tutorial: Elegant R Data Visualization 📊 #DataViz #RStats
Просмотров 3919 месяцев назад
sjPlot Bar Chart Tutorial: Elegant R Data Visualization 📊 #DataViz #RStats
Visualizing Age Groups with sjPlot in R with confidence intervals
Просмотров 4399 месяцев назад
Visualizing Age Groups with sjPlot in R with confidence intervals
Read, Write, Insert, Delete records in MS Access using R. Comprehensive Guide to CRUD Operations
Просмотров 2279 месяцев назад
Read, Write, Insert, Delete records in MS Access using R. Comprehensive Guide to CRUD Operations
Mastering R: How to Create Foolproof R Scripts for Error-Free Data Analysis
Просмотров 17110 месяцев назад
Mastering R: How to Create Foolproof R Scripts for Error-Free Data Analysis
Discover the Fastest CSV Import Method in R: Benchmarked and shown as Summary Table, and Plot
Просмотров 18910 месяцев назад
Discover the Fastest CSV Import Method in R: Benchmarked and shown as Summary Table, and Plot
Advanced Data Analysis: Creating Excel-Like Pivot Tables in R with Countif Functionality and More!
Просмотров 21010 месяцев назад
Advanced Data Analysis: Creating Excel-Like Pivot Tables in R with Countif Functionality and More!
R Programming: Building User-Friendly, Sophisticated Data Summaries with tbl_summary
Просмотров 61810 месяцев назад
R Programming: Building User-Friendly, Sophisticated Data Summaries with tbl_summary
Effortless R Scripting with Google Colab: Harnessing the Power of R in the Cloud! ☁️📊
Просмотров 13710 месяцев назад
Effortless R Scripting with Google Colab: Harnessing the Power of R in the Cloud! ☁️📊
RStudio hidden feature. Save hours of coding time. Let us know if you knew about it or not ?
Просмотров 25011 месяцев назад
RStudio hidden feature. Save hours of coding time. Let us know if you knew about it or not ?
Create AI based images based on your imagination using OpenAI with R
Просмотров 12311 месяцев назад
Create AI based images based on your imagination using OpenAI with R
OpenAI to create automatic transcription using R and save it as a MS Word file automatically.
Просмотров 20511 месяцев назад
OpenAI to create automatic transcription using R and save it as a MS Word file automatically.
PowerBI How to create Financial Year | Fiscal Year from dates
Просмотров 1,3 тыс.11 месяцев назад
PowerBI How to create Financial Year | Fiscal Year from dates
PowerBI - In this example we get daily gold prices using R and plot a line chart in powerBI
Просмотров 180Год назад
PowerBI - In this example we get daily gold prices using R and plot a line chart in powerBI
R Programming: Elegant Cross Tables in R | gtsummary | publication ready cross tables
Просмотров 4,4 тыс.Год назад
R Programming: Elegant Cross Tables in R | gtsummary | publication ready cross tables
R Programming : Find unmatched records using anti join
Просмотров 183Год назад
R Programming : Find unmatched records using anti join
R Programming: Skimr Create publication ready descriptive data summaries
Просмотров 386Год назад
R Programming: Skimr Create publication ready descriptive data summaries
Power BI : Control the orders of bars in your bar charts
Просмотров 923Год назад
Power BI : Control the orders of bars in your bar charts

Комментарии

  • @matheusdeluna1409
    @matheusdeluna1409 5 дней назад

    Very useful video!

  • @univ41soukahras48
    @univ41soukahras48 10 дней назад

    hi, I have a problem when I want to run the following code to have a boxplot: boxplot(data_ind$Na~data_ind$Stations, range = 1.5, width = NULL, varwidth = FALSE, notch = FALSE, col = c("blue","red","orange","gray"), xlab = "", ylab = "Na %",) the following message appears: Error in plot.new() : figure margins too large. and the drawing does not appear the range of the variable Na% from 17.39 to 43.02

    • @DataAnalytic
      @DataAnalytic 10 дней назад

      Hello You are not using the GGPLOT boxplot you are using the BASE R to plot your chart. You can try to use the dev.off() command to see if it works for you. Check the margings using this command par("mar") set the margins by the following command par(mar=c(1,1,1,1)) Here is an example library(tibble) data <- tribble(~ Gender, ~ Age , 'Male' , 80 , 'Male' , 40 , 'Male' , 60 , 'Male' , 70 , 'Female' , 80 , 'Female' , 30 , 'Female' , 40 , 'Female' , 50 , 'Female' , 60 , 'Female' , 70 , 'Female' , 150 ) dev.off() par(mar=c(1,1,1,1)) boxplot(formula = Age ~ Gender, data = data, col = c("red","blue"), xlab = "Patient Gender", ylab = "Patient Age") Hope it works for you.

    • @univ41soukahras48
      @univ41soukahras48 6 дней назад

      @@DataAnalytic thanks

  • @stephenkojwang1151
    @stephenkojwang1151 21 день назад

    One of the best tutorials ever. Thanks a bunch!

  • @ldsharma6546
    @ldsharma6546 26 дней назад

    Good morning Sir, I have analysed 750 soil samples for soil acidity in the state of Manipur, India. So, how can I develop the same maps in ggplot for my data. Kindly teach me

    • @DataAnalytic
      @DataAnalytic 25 дней назад

      Hello, yes I assume that you have taken soil samples for tested for the soil acidity for Manipur, 750 locations is a good number, I will try to do a mockup.

    • @ldsharma6546
      @ldsharma6546 25 дней назад

      ​@@DataAnalyticSir could you share your email id with me?

  • @nuestraaula1991
    @nuestraaula1991 Месяц назад

    excellent video, thank you so much!

    • @DataAnalytic
      @DataAnalytic Месяц назад

      You're very welcome!

    • @nuestraaula1991
      @nuestraaula1991 Месяц назад

      @@DataAnalytic from Barranquilla, Colombia 🙏❤️🇨🇴

  • @Bungizy
    @Bungizy Месяц назад

    Thank you. I have two datasets: case (d1) and control (d2). Both d1 (n=226) and d2 (n-=219) have unique persons per observation. I want to fuzzy_left_join matching d2 to d1 on gender (M/F), and age_in_months (lowage and highage based on +/- 6 months). Your tutorial worked, but my joined had n=3067 observations because multiple d2 meet the match criteria of gender and age range for every d1 observation. My problem: in the djoined of n=3067, if I remove duplicated d1 records and downsize to n=226, some unique records from d2 will be dropped and not represented. My request: how do I retain only (n=226) d1 observations, while maximizing the number of d2 matched without duplication? Thank you.

    • @DataAnalytic
      @DataAnalytic Месяц назад

      Hi, thanks for explaining your question very clearly. As you have a control dataset and a case dataset and one person will only appear in either the control or the case dataset, so you would not have a unique person ID to join the data. In your case you are joining the gender and the age range, is it possible to pick some other key which can help you ? The same record from d1 is joined to multiple rows in d2. Another way is to only take the first value in each group, so you group your joined dataset by gender, agegroup and pick the top1 using slice(1). Without looking at the data, I can only give generic advice which may not fit in your exact circumstances. If you are able to make some dummy data then put the code here, then I can give it a further try.

  • @boipelokedikilwe1302
    @boipelokedikilwe1302 Месяц назад

    Thank you for this. But how can you interact with the chart that you created in R? Instead of clicking the Power BI chart, but rather clicking the R chart?

    • @DataAnalytic
      @DataAnalytic Месяц назад

      Hi the R charts reflect the changes in other POWERBI components, in the video it shows that when we select a particular product in a PowerBI chart then the R chart also get changed to reflect the selected product. But there are no controls within the R Chart to interact directly.

  • @nuestraaula1991
    @nuestraaula1991 Месяц назад

    no music, please

    • @DataAnalytic
      @DataAnalytic Месяц назад

      Hi, yes I agree, it is one of the older videos, we do not use background music at all now!

  • @raokramer
    @raokramer Месяц назад

    Thank you !!

  • @MizanurShuvraRidwan
    @MizanurShuvraRidwan Месяц назад

    i tried running the gtsummary package and it shows errors because my variables are factors. So, I guess y9ou need to mention what type of variables work for the gtsummary cross tabs

  • @hugohenriquez9992
    @hugohenriquez9992 Месяц назад

    Nice video! . I got a question, how can I use data with NA values ? .

    • @DataAnalytic
      @DataAnalytic Месяц назад

      Try filling the NAs with a string like 'Not Available' or 'Blank', but be aware that the NAs might be at each node level, so do this write at the start.

  • @zoef2170
    @zoef2170 Месяц назад

    How do you fix the distortion of the hexagons? (i.e., AK and HI). They are not all uniform at the end.

    • @DataAnalytic
      @DataAnalytic Месяц назад

      Hi, in this example the hexagons are controlled by the shape file, hence can't be changed to make them uniform. There are other methods which can achieve uniform size for the hexagons, as in that method the hexagons are not in the shape file but generated programatically. But the second method does not ensure that you would get one hexagon for each state.

  • @KevinVelan
    @KevinVelan 2 месяца назад

    Thanks, brother, exactly on what I been searching

  • @joseoscardelgadobautista2105
    @joseoscardelgadobautista2105 2 месяца назад

    Hi!!!! excellent!!! but for work again with R?

    • @DataAnalytic
      @DataAnalytic 2 месяца назад

      Open an existing R script or open a new R Script page and you can start working in R.

  • @John_F898
    @John_F898 2 месяца назад

    Don’t the slashes in paths need to be forward slashes in R? Do you set slash direction in preferences?Also, why are there double slashes in this example?

    • @DataAnalytic
      @DataAnalytic 2 месяца назад

      Backslashes \\ have to be double and forward slashes / are single. You can use whatever you like.

  • @jordyvanlooy4715
    @jordyvanlooy4715 3 месяца назад

    🙂🙂🙂

  • @justiflower3993
    @justiflower3993 3 месяца назад

    informative.

  • @TegeElleMusic
    @TegeElleMusic 3 месяца назад

    Awesome video!

  • @Ashis_Udgata
    @Ashis_Udgata 3 месяца назад

    Nice video. I am unable to open diva-gis website for downloading shape file. Can you help me out?

    • @DataAnalytic
      @DataAnalytic 3 месяца назад

      Hi if the site is not working then just try hub.arcgis.com/content/cba8bddfa0ab43ddb35a7313376f9438/about www.indiaremotesensing.com/2017/01/download-india-shapefile-with-official.html www.igismap.com/download-india-administrative-boundary-shapefiles-states-districts-sub-districts-pincodes-constituencies/ www.researchgate.net/post/Suggestions_how_to_get_Shapefile_of_India_with_all_700_Indian_districts

    • @Ashis_Udgata
      @Ashis_Udgata 3 месяца назад

      @@DataAnalytic Thank you for quick reply. Can I get your mail id. I am getting some error while implementing the code.

    • @DataAnalytic
      @DataAnalytic 3 месяца назад

      Please feel free to put it in a comment so that I can reply.

    • @Ashis_Udgata
      @Ashis_Udgata 3 месяца назад

      @@DataAnalytic Is it possible to add different numerical values to the selected districts in the map? For eg. population size, number of govt. schools etc.

  • @nagehansahin9335
    @nagehansahin9335 3 месяца назад

    Hi, is there any way to create three-dimensional bar chart?

    • @DataAnalytic
      @DataAnalytic 3 месяца назад

      Hi, yes there are different libraries to do that. Here is a very simple example install.packages('"plot3D") library(plot3D) scatter3D(iris$Sepal.Length, iris$Petal.Length, iris$Sepal.Width) Also explore echarts4r .

    • @nagehansahin9335
      @nagehansahin9335 3 месяца назад

      @@DataAnalytic But scatter3d is not a bar chart?

    • @DataAnalytic
      @DataAnalytic 3 месяца назад

      Hi, sorry I was just eluding to the plot3D library for you to have a look.

  • @user-du2vz5lm6f
    @user-du2vz5lm6f 3 месяца назад

    nice 🙏

  • @constanzamartinez1780
    @constanzamartinez1780 4 месяца назад

    Hi..thanks for your video...I´m having problems with geom_sankey maybe you can help me Error in `geom_sankey()`: ! Problem while computing stat. ℹ Error occurred in the 1st layer. Caused by error in `map()`: ℹ In index: 1. Caused by error in `dplyr::mutate()`: ℹ In argument: `dplyr::across(c(x, next_x), ~as.numeric(.), .names = ("n_{.col}"))`. Caused by error in `across()`: ! Can't select columns that don't exist. ✖ Column `next_x` doesn't exist. I verify and I have the columns next_X I appreciate you help

    • @DataAnalytic
      @DataAnalytic 4 месяца назад

      Looks like something is wrong with the data. There is a link in the description of the video which has the code with some sample data. If you have not seen it yet, then please try to run the code and see if you are able to get a plot. If you still have an issue, then paste some dummy data in the comment so that I can try it out.

  • @pjdava
    @pjdava 4 месяца назад

    Data Analytic, Wow, this made my day brighter! Thank you!

  • @trid3nt749
    @trid3nt749 4 месяца назад

    Thanks a lot, for some reason I couldn't find this anywhere on stackoverflow

  • @mirlot1298
    @mirlot1298 4 месяца назад

    Felicitaciones, gracias por tan valiosa información

  • @michaelmahoney3806
    @michaelmahoney3806 5 месяцев назад

    Great job walking me through the construction of this plot. I don't utilize this plot design a great deal so I appreciate your tips and tricks. Thanks!

  • @Jazzmaster11
    @Jazzmaster11 5 месяцев назад

    It's very usefull, thank you so much !

  • @user-de4zr2ro6d
    @user-de4zr2ro6d 5 месяцев назад

    My confidence interval does not look like the normal distribution as yours. What might be the problem? Each of my cases have different se.

    • @DataAnalytic
      @DataAnalytic 5 месяцев назад

      Hi, I think you will have very extreme numbers in one or more observations.

  • @CanDoSo_org
    @CanDoSo_org 5 месяцев назад

    Hi, thanks. But why don't you use: cat(glue("There are **{nrow(diamonds)}** diamonds in the dataset.")) instead of: glue("There are **{nrow(diamonds)}** diamonds in the dataset.") Same output but the later one is simpler.

    • @DataAnalytic
      @DataAnalytic 5 месяцев назад

      Correct, by default if you give the name of a variable, it gets printed so all three will give you same results. cat (glue('There were {nrow(diamonds)} diamonds in the dataset. ')) glue('There were {nrow(diamonds)} diamonds in the dataset. ') print(glue('There were {nrow(diamonds)} diamonds in the dataset. '))

  • @nadiadansani2139
    @nadiadansani2139 6 месяцев назад

    I'm getting a python error with install_python (version = version). It's saying I need to download git and ensure it is in the path

    • @DataAnalytic
      @DataAnalytic 6 месяцев назад

      Hi, try to install Python standalone and see if gets installed properly.

  • @user-yv3jo4hi9h
    @user-yv3jo4hi9h 6 месяцев назад

    Very useful. Thank you.

  • @undzmoi106
    @undzmoi106 6 месяцев назад

    Hi thanks for explaining, is it work with ggplotly? Cause I add images logo on geom_sf map with geom_image fonction but this doesn't work when add ggplotly, how can I do this 🥺

  • @morninglorya918
    @morninglorya918 6 месяцев назад

    Thank you so much for this video! I am wondering if the highcharter package allows you to skip nodes for some observations. For example, I have three nodes. Some observations have values at all three nodes and this is straightforward (n1 > n2 > n3). However, some of my observations do not have an observation at n2. I would like for these observations to be depicted in the diagram as going directly from n1 > n3. Is this possible?

    • @DataAnalytic
      @DataAnalytic 5 месяцев назад

      Hi there You can also have a look at the ggplot sankey plots, but it still will create an empy node at n2 level instead of going directly from n1 to n3. But I guess you have some control if you create your data in such a way so that the n2 and n3 are put at the same level, matter of experimenting it out.

  • @Mohammed-yl5wr
    @Mohammed-yl5wr 6 месяцев назад

    Thank you so much for sharing the informative video. I want install ("import") SGDClassifier From sklearn.linear_model as shown below From sklearn.linear_model import SGDClassifier

  • @Adeyeye_seyison
    @Adeyeye_seyison 6 месяцев назад

    Sir, I have a video request: Your dplyr playlist was my go-to treasure trove that helped my learning _ came across the fill() & tidy() functions in tidyverse _ but don't know what they function _ would you sir, help with a tutorial on the functions?

  • @Adeyeye_seyison
    @Adeyeye_seyison 6 месяцев назад

    Thanks a million sir, for ALL you do and represents and your value adding contents and tutorials.

  • @danielmoralesnavarro
    @danielmoralesnavarro 6 месяцев назад

    thank you for the video!

  • @sutchak
    @sutchak 6 месяцев назад

    Very useful video. However my question is if there is some real need to use sjplot instead of ggplot2

    • @DataAnalytic
      @DataAnalytic 6 месяцев назад

      In some cases the sjPlot gives lots of features with very little code, eg. showing the perecentage and the frequency on a barchart. Also the histograms in sjPLOT are really cool. But of course everything is achievable using GGPLOT2. I personally like the sjPlot features for plotting the regression models. Using the plot_model www.rdocumentation.org/packages/sjPlot/versions/2.8.15/topics/plot_model.

  • @Salty0
    @Salty0 7 месяцев назад

    From technicality perspective it is alright but line chart is not applicable here. Each of the cars are different to be on a continuous axis.

    • @DataAnalytic
      @DataAnalytic 7 месяцев назад

      Yes, you have pointed it right, these are kind of discrete values joined together with lines, though this chart was easier to demonstrate the techniques of annotations, otherwise with continuous data the chart was getting really busy.

  • @Svykle
    @Svykle 7 месяцев назад

    How do I display each data point on the x axis?

    • @DataAnalytic
      @DataAnalytic 7 месяцев назад

      Hi In the line chart (assuming that it has dates on X axis),if you have fewer points to display then you can nicely display them, if you have more points then try rotating the X axis labels. And if you still have more points then use the dual axis as we have shown in the video. One of the strategies should work for you. Hope I got your point correctly and answered accordingly, otherwise feel free to provide bit more information on what you want to do.

  • @AkshayGaneshkumarNSx
    @AkshayGaneshkumarNSx 7 месяцев назад

    Excellent demonstration

  • @ajaykushwaha4233
    @ajaykushwaha4233 7 месяцев назад

    library(reticulate) version = "3.9.6" install_python(version = version) virtualenv_create("my-python", python_version = version) use_virtualenv("my-python", required = TRUE) virtualenv_install(envname = "my-python","numpy", ignore_installed = FALSE,pip_options = character()) virtualenv_install(envname = "my-python","pandas", ignore_installed = FALSE,pip_options = character()) virtualenv_install(envname = "my-python","matplotlib", ignore_installed = FALSE,pip_options = character()) virtualenv_install(envname = "my-python","sklearn", ignore_installed = FALSE,pip_options = character())

  • @oluwamuyiwafunmiemmanuel9309
    @oluwamuyiwafunmiemmanuel9309 7 месяцев назад

    Nice tutorial, I tried this package with a wage dataset. it was superb

    • @DataAnalytic
      @DataAnalytic 7 месяцев назад

      Thanks a lot for your visit and comment.

  • @Adeyeye_seyison
    @Adeyeye_seyison 7 месяцев назад

    Thanks a million sir, Ever grateful for your tutorials _ the clarity, lucidity and depth is indeed amazing

    • @DataAnalytic
      @DataAnalytic 7 месяцев назад

      Thanks for your kindness.

  • @ravi2004ravi
    @ravi2004ravi 7 месяцев назад

    Sir I had created the API key, however I am getting the Error: OpenAI API request failed [401]: Invalid authorization header. Can you please help?

    • @DataAnalytic
      @DataAnalytic 7 месяцев назад

      Hi there, In all simplicity, this code should be working. myimage <- create_image(prompt ="blue car" ,openai_api_key = yourAPIKey) Other issue could be that there are no credits available. Check it out by logging in to OpenAI and then go to products and see if you have any credits to generate the images. Hope that is the case.

  • @qbwoa
    @qbwoa 8 месяцев назад

    Thank you so much for this video. This has saved me a lot of hours.

  • @ajaykushwaha-je6mw
    @ajaykushwaha-je6mw 8 месяцев назад

    How to add header and footnote.

    • @DataAnalytic
      @DataAnalytic 8 месяцев назад

      Yes, I plan to address them in the next video, also watch this video on tbl_summary which will give you more ideas. ruclips.net/video/bycXj7yn0io/видео.html

  • @Adeyeye_seyison
    @Adeyeye_seyison 8 месяцев назад

    Another premium content for FREEMIUM access... Thanks sir, for ALL you do and represents and your ability to explain these concepts. Being using your beginner's series to grow in my R journey_ must confess you have the BEST SERIES on dplyr on YT. Really appreciate I found your goldmine of contents...

  • @joshstat8114
    @joshstat8114 8 месяцев назад

    Thanks for this video. Can you able to add a Python file and use its functions and objects into the R package you wrote?

    • @DataAnalytic
      @DataAnalytic 8 месяцев назад

      Hi there Yes, you can. See the examples here cran.r-project.org/web/packages/reticulate/vignettes/calling_python.html

    • @joshstat8114
      @joshstat8114 8 месяцев назад

      @@DataAnalytic the link is dead

    • @DataAnalytic
      @DataAnalytic 8 месяцев назад

      Hello. Reconfirming that this link worked on my browser, try copy and pasting the link in your browser. cran.r-project.org/web/packages/reticulate/vignettes/calling_python.html

  • @88pianissimo90
    @88pianissimo90 8 месяцев назад

    Thank you very much. This helped me create a beautiful gantt chart for one of my SAP projects.

    • @DataAnalytic
      @DataAnalytic 8 месяцев назад

      Thanks, nice to know that it helped you.