The NHANES website is the most important data source and analytical resource for all data users. Persons with disabilities experiencing problems accessing this page should contact CDC-INFO at CDC-INFO@cdc.gov, 800-232-4636 or the TTY number at (888) 232-6348 and ask for a 508 Accommodation PR#9342. This is a big dataset that includes a lot of continuous and categorical features. OASIS Brains - Open Access Series of Imaging Studies NHANES III. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment. Thanks in … Due to disclosure concerns, these data are not available publicly. From Tabulated Data to Knowledge Graph: A Novel Way of Improving the Performance of the Classification Models in the Healthcare Data Nazar Zaki1,3, Elfadil A Mohamed2, and Tetiana Habuza1,3 1Dept of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain 15551, UAE Welcome Back NHANES Participants. digit recognition using a convolutional neural The data was gathered from multiple instances. ... (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. nhanesi xgb_full = xgboost. Downloads. days_late does not interact with any of the other features. Public use data releases from prior NHANES (through NHANES III) will consist predominantly of additional datasets derived from stored sera projects or special use agreements and will be released on an ad hoc basis. A number of variable selection and shrinkage methods such as Akaike Information Criterion and Lasso were employed to narrow down the list of 16 predictors. 2015-2017 NSFG: Public-Use Data Files, Codebooks, and ... The dataset contains 303 individuals and 14 attribute observations (the original source data contains additional features). As I continue to practice using tensorflow for image recognition tasks, I thought I would experiment with the Plant Pathology dataset on Kaggle. 2020: Complete NHANES US Health Data 2017-18 (csv) | … This page lists information from a variety of sources that I have found to be useful. License. Underrated in ML: Intro to survival analysis Data Catalogs & Search Engines - Finding Datasets for ... Let us get started. Here is the link to this dataset. Gabriel Preda, PhD. The database includes de-identified and limited datasets from medical and pharmacy claims data, electronic health record data, mortality data, and consumer data. ALQ110: Had at least 12 alcohol drinks/1 yr? 24 minute read. In this project I used a subset of the 2011-2012 NHANES dataset and analyzed it in hopes of finding the best predictors for blood pressure. Mendeley Data is a secure cloud-based repository where you can store your data, ensuring it is easy to share, access and cite, wherever you are. The following snippets in TTL format show a research paper publication-7aa3d69253e37668541c hosted on EuropePMC that has a known link to a dataset dataset … Datasets This study will cover topics such as heart disease, diabetes, and other health conditions, and will help us understand how our health changes over time. The datase t can be found on the Kaggle website. This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases and can be used to predict whether a patient has diabetes based on certain diagnostic factors. Starting off, I use Python 3.3 to implement the model. (PDF) Heart Disease Prediction Using Machine Learning So here I flip it back to … Animals/subjects: A dataset of 10,170 individuals from the National Health and Nutrition Examination Survey (NHANES) representative of 311,065,381 US residents. These code examples use the standard public-release NHANES datasets. You can find this dataset on Kaggle. Meaning of the column’s name. a program of studies designed to assess the health and nutritional status of adults and children in the United States. The survey was live for 3.5 weeks in October. These datasets are not released to the public. Data Sources Daily admission, recovery and deceased rate data for patients with COVID-19 were collected from Kaggle as of April 20, 2020. Visualizing Data | DataScience+ Datasets In this blog, let's build a decision tree classifier model using both Gini and Entropy to detect Heart Disease. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. League of Legends Win Prediction with XGBoost¶. SAS transport files can be imported into many software packages. Heart Disease Dataset. The mean concentration of 25(OH)D among the elderly for comparison with A-CMR was collected from previously published studies … This survey data is comprised of six main files: demographic, diet, exam-ination, labs, medications, and questionnaire. John Hopkins University Github confirmed case numbers. This particular tutorial uses the Demographics dataset and Blood pressure dataset from NHANES dataset (2013-2014). Finding Datasets. data in other formats: click on a dataset in the list of datasets appearing at the bottom of the page, click on Export button on the top right of the interactive dataset view and choose one of the following file formats: CSV (Comma Separated Values), Microsoft Excel (XLS), Microsoft Excel (XLSX), XML, RDF, and RSS. No label or response data is considered in this analysis. Dataset. 2.2. First we’ll convert the dataframe to a format that can be used in keras/tensorflow. We can see, for example, that the training dataset contains 42,000 rows of 785 columns. NHANES 2017-2018 Demographics Variable List. Currently the data is in a pandas dataframe, which is common for Kaggle datasets. The code below implements this model. Lister Hill National Center for Biomedical Communication's (LHNCBC) natural language processing (NLP), or text mining, research focuses on the development and evaluation of computer algorithms for automated text analysis. days_late does not interact with any of the other features. Features pushing the prediction higher are shown in red, those pushing the prediction lower are in blue (these force plots are introduced in our Nature BME paper). Next, let's work with an example from the corpus in the Rich Context leaderboard competition – a machine learning competition about parsing named entities from PDFs of open access research publications.. python machine learning regression. The above explanation shows features each contributing to push the model output from the base value (the average model output over the training dataset we passed) to the model output. The dataset was collected at 'Hospital Universitario de Caracas' in Caracas, Venezuela. import shap import xgboost from sklearn. Here are some suggestions of other data sets: Current Population Survey (find by starting at IPUMS.org) – a national survey with more on working and work history. Principal Component Analysis (PCA) is an unsupervised learning approach of the feature data by changing the dimensions and reducing the variables in a dataset. Hello, I am looking for such Datasets, in which I can get more than 10% missing values (Numeric Data). Share and discover datasets. Several patients decided not to answer some of the questions because of privacy concerns (missing values). Provide guidance on APA format style based on the 7th edition of the APA Publication Manual. ALQ110: Had at least 12 alcohol drinks/lifetime? 5.6 s. history Version 12 of 12. In , you can see a dataset is unbalanced if the classification categories are not represented equally. Data Sources Daily admission, recovery and deceased rate data for patients with COVID-19 were collected from Kaggle as of April 20, 2020. Screening data were collected from Our World in Data and official statements from public authorities. Clustering. Context. Doc File. We have designed the dataset so there is an interaction between experience and degree and between performance and sales. The UCI Machine Learning Repository is a collection of datasets that are used by researchers for the empirical analysis of machine learning algorithms (Dua and Graff, 2017).Although these datasets are largely complete, we can effectively evaluate our imputation under complete missing at random assumptions by … Using this data we build an XGBoost model to predict if a player’s team will win based off statistics of how that player played the match. The website contains both historic and current datasets, and covers a wide range of critical topics. But once you get used to them, you can use this one dataset to practice Data Analysis, Visualization, Statistical Modeling, and Machine Learning models (both classification and regression). The first column contains the label, and the 784 columns after that contain the pixel values. คุณ Rashida เจอ Dataset นี้ใน Kaggle ตั้งแต่นั้นมาเธอก็ใช้มันในบทความต่าง ๆ มากมายเพื่อใช้อธิบาย Concept. When I started to explore the data, I noticed that many of the parameters that I would expect from my lay knowledge of heart disease to be positively correlated, were actually pointed in the opposite direction. This module describes how Continuous NHANES data and documentation are structured and organized. If emailing please type 508 Accommodation PR#9342 without quotes … Open datasets on everything from government, health, and science to popular games and dating trends. (2) Academic background features such as educational stage, grade Level and section. Welcome Back NHANES Participants. Sex: Gender of subject: 0 = female 1 = male. Mar 20 '18 at 6:35. (source: Kaggle Dataset, Wikipedia via Google Knowledge Graph API) Player Name BMI Short Desc Long Description; Tim Wiese: 29.59: Professional wrestler: Tim Wiese is a German professional wrestler and former football goalkeeper. In , you can see a dataset is unbalanced if the classification categories are not represented equally. Date Published. SEQN: Respondent sequence number. Leverage Stata’s Internet Connectivity to Make NHANES Analyses Easy Data regarding cases that have undergone 2. The dataset consists of 480 student records and 16 features. Regression Models; Tags. Data.gov is the home of the U.S. Government’s open data. This category will include tutorials on how to create a histogram, density plots, heatmap, and word clouds and much more. League of Legends Win Prediction with XGBoost . You can find this dataset on Kaggle. Conducted from 1988-1994, the third National Health and Nutrition Examination Survey (NHANES III) focused on oversampling many groups within the U.S. population aged 2 months and over. NHANES datasets from 2013-2014. After the balancing class problem was identified, synthetic data was generated, up to 77% of the data, using the tool Weka and the filter SMOTE proposed by . The Survey At A Glance. So, you can use the whole dataset or part of it for so many different purposes. The final model is generated by Random Forest Classifier algorithm, which gave an accuracy of 88.52% over the test dataset that is generated randomly choosing of 20% from the main dataset. I used it in several articles for demonstration purposes. However, secure, on-site access is granted through NCHS's Research Data Center (RDC) to guarantee the confidentiality of the survey participants. The datase t can be found on the Kaggle website. [Self Promotion] Complete FIFA 22 dataset available on Kaggle Hi r/datasets , In case anyone is interested in analysing and exploring the latest FIFA 22 dataset, I uploaded at the following link a set of csv files that allow to compare the sofifa player data from FIFA 15 until the latest FIFA 22: Data release occurs after data cleaning, editing, documentation and Disclosure Review After reading through some comments in the Kaggle discussion forum, I discovered that others had come to a similar conclusion: the target variable was reversed. Mendeley Data Mendeley Data is an open research data repository, where … Our dataset comes from a CSV file which is part of the 2013-2014 NHANES (National Health and Nutrition Examination Survey) posted on Kaggle, a popular dataset and data science website. The Demographic Profile contains the 100-percent and sample data. Similar to other datasets produced from continuous NHANES since 1999, data for the interview, laboratory, and examination components of the 2019-March 2020 convenience samples are made available in numerous files to facilitate ease of use and access. Strain Data repo. Public-use data files are prepared and disseminated to provide access to the full scope of the data. Data.World. These oversampled groups included children aged 2 months to 5 years, persons over age 60, Mexican-American persons, and non-Hispanic black persons. Modeling cognitive impairment using NHANES data. Modeling the UCI Heart Disease dataset. There are 14 variables provided in the data set and the last one is the dependent variable that we want to be able to predict. Chest-pain type: Type of chest-pain experienced by the individual: Category. Data File Name. NHANES warning The following warning comes directly from the NHANES web site: For NHANES datasets, the use of sampling weights and sample design variables is recommended for all analyses because the sample design is a clustered design and incorporates differential probabilities of … The survey is unique in that it combines interviews and physical examinations. A tutorial-specific dataset is not required. The following code examples demonstrate how to replicate selected results from NCHS publications such as Data Briefs, QuickStats, or National Health Statistics Reports. These code examples use the standard public-release NHANES datasets. It’s very important to understand the meaning of the column name before making any further analysis on the dataset. Length and width of the sepal and petal are numeric variables and the species is a factor with 3 levels (indicated by num and Factor w/ 3 levels after the name of the variables). Explore, analyze, and share quality data here. The Diet Behavior and Nutrition questionnaire dataset from the 2017-March 2020 pre-pandemic sample (P_DBQ) were updated to correct data entry errors in 7 records on DBD055, DBD061, DBQ073A and/or DBQ073U. Kaggle DataSets. Read writing from Tze Sien Choo on Medium. The dataset contains 150 observations and 5 variables, representing the length and width of the sepal and petal and the species of 150 flowers. Coronavirus Datasets. – John Stone. The features included various heart disease-related measurements, like chest pain and resting ECG, as well as age and sex, and represented a mix of binary, categorical, ordinal, and numeric data. NHANES machine learning: Issue Date: Jun-2019: Publisher: Universitat Oberta de Catalunya (UOC) Abstract: We are going to work with the kaggle¿s dataset named National Health and Nutrition Examination Survey in this paper. The Scikit-learn API provides the PCA transformer function that learns components of data and projects input data on learned components. Dimensionality Reduction. We will use data from NHANES I with follow-up mortality data from the NHANES I Epidemiologic Follow-up Study. The decennial Censuses (find by starting at IPUMS.org) for historical data Data used is Titanic Dataset from Kaggle. In this post I use a similar approach to identify childhood pneumonia from chest x-ray images, using the Chest X-Ray Images (Pneumonia) dataset on Kaggle. this could work, however, there are a lot of datasets in Kaggle, if each one of them has to be converted by Excel, the Kaggle platform would be quite inefficient. The survey is unique in that it combines interviews and physical examinations. After the balancing class problem was identified, synthetic data was generated, up to 77% of the data, using the tool Weka and the filter SMOTE proposed by . 2015-2017 NSFG: Public-Use Data Files, Codebooks, and Documentation. See also my notebook on Kaggle. ... 2020-03-20. Kaggle. The survey is unique in that it combines interviews and physical examinations. Data File. You can find Federal, state and local data, tools, and resources to conduct research, build apps, design data visualizations, and more. 100 contributed datasets, 50 medals, reached top 2nd rank (currently 3rd), got the … The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. Cell link copied. Here, we either delete a particular row if it has a null value for a particular feature and a particular column if it has more than 70-75% of missing values. This method commonly used to handle the null values. NHANES is a major program of the National Center for Health Statistics (NCHS). Using this approach, I was able to achieve 97% accuracy, 97% precision, and 97% recall. Data Discovery (National Library of Medicine) Access to datasets from selected NLM resources. Exam Procedure Manuals. The features are classified into three major categories: (1) Demographic features such as gender and nationality. model_selection import train_test_splitX, y = shap. It also has a search feature where you can find healthcare datasets. Categorical features: cardinality and sparsity. ... NHANES Dataset. Like MNIST, this is an image recognition challenge. SAS Universal Viewer. Details for this project are available on GitHub. Here is a summary of what the other variables mean: Age: Age of subject. I want to learn the Missing Values imputation … The Demographics dataset contains a huge records of demographics information such as gender, race, annual income for each participant. Create a Dataset. ggplot2; Linear Regression; NHANES; R Programming; In this post I will show how to build a linear regression model. National Health and Nutrition Examination Survey Kaggle Context. See Module 1, Datasets and Documentation, for a detailed description of how the data files are organized. datasets. This notebook uses the Kaggle dataset League of Legends Ranked Matches which contains 180,000 ranked games of League of Legends starting from 2014. ... available on Kaggle. Demographic Profile Summary File Dataset. An amazing dataset for learners. คุณ Rashida เจอ Dataset นี้ใน Kaggle ตั้งแต่นั้นมาเธอก็ใช้มันในบทความต่าง ๆ มากมายเพื่อใช้อธิบาย Concept ... NHANES Dataset. Throughout the years, NHANES datasets and related information have been released in a variety of formats and different media. However, since the late 1990s, all publicly available data and related documentation are released and updated in a centralized location: the NHANES website. Deleting Rows. In this blog, let's build a decision tree classifier model using both Gini and Entropy to detect Heart Disease. Questionnaire Instruments. NHANES Dataset. The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. NHANES Dataset. It also has a search feature where you can find healthcare datasets. I tried the fread function as well, it does not work either ... – John Stone. As an example, for this post, I will evaluate the association between vitamin D and calcium in the blood, given that the variable of interest (i.e., calcium levels) is continuous and the linear regression analysis must be … The project is based upon the kaggle dataset of Heart Disease UCI. Some of the information is available elsewhere but may be difficult to obtain. The "Framingham" dataset is publically available on the Kaggle website, and it is from an ongoing cardiovascular study on residents of the town of Framingham, Massachusetts. Using this data we build an XGBoost model to predict if a player’s team will win based off statistics of how that player played the match. The column names of this dataset may not look very understandable at first. Datasets From the UCI Machine Learning Repository. Google Sheets From DXY.cn (Contains some patient information [age,gender,etc] ) Kaggle Dataset. Every day, Tze Sien Choo and thousands of other voices read, write, and share important stories on Medium. 2020-01-20. Other Datasets. We have designed the dataset so there is an interaction between experience and degree and between performance and sales. To understand various methods we will be working on the Titanic dataset: 1. # setwd('/kaggle/working') 5.3.3 Import dataset. May 15, 2001. I have used Kaggle notebook to code and used the UC Irvine Heart Disease dataset from Kaggle to find out the most important factor that impacts heart disease in a patient. The column named may not look very understandable in … Click on "Datasets" to search dataset. The 100-percent data were asked of all people and about every housing unit. NCHS makes every effort to release data collected through its surveys and data systems in a timely manner. My activity status on Kaggle Datasets in 2021. Data Cleaning. This study will cover topics such as heart disease, diabetes, and other health conditions, and will help us understand how our health changes over time. As well, it does not interact with any of the National Center for Health Statistics ( NCHS ) a! Sample data were collected from Our World in data and documentation are structured and.! 2 ) Academic background features such as gender, race nhanes dataset kaggle annual for. Either in the public domain or copyrighted by me or the University of Michigan < /a >.! Dataset League of Legends starting from 2014 visit the data files are organized Our services analyze! To answer some of the information is either in the public domain or copyrighted by or... Been released in SAS transport file (.xpt ) format with any of the U.S. government ’ s a... And deceased rate data for patients with COVID-19 were collected from Kaggle of! Has been released in SAS transport file (.xpt nhanes dataset kaggle format, Github < >... And share quality data here included children aged 2 months to 5 years persons... For Kaggle datasets patient information [ age, gender, race, annual income for participant. In group quarters ( e.g., college dormitories ) Medicine ) Access datasets. For patients with COVID-19 were collected from Our World in data and create the necessary matrix... Of other voices read, write, and non-Hispanic black persons can find healthcare datasets some the! Ranked games of League of Legends Ranked Matches which contains 180,000 Ranked games of League of Legends from... Contain the pixel values open source license describes how Continuous NHANES data aged 2 months to years... Further analysis on the site function as well, it does not with... Because of privacy concerns ( missing values ) with SHAP contains some patient information [ age, gender race! As well, it does not interact with any of the U.S. government ’ open. Component analysis ( PCA < /a > Data.gov this module describes how Continuous data... To build a Linear Regression analysis with NHANES data ( since 1999-2000 ) is released SAS! Services, analyze web traffic, and science to popular games and dating trends this particular tutorial the. Data is considered in this analysis gender of subject: 0 = female 1 =.! Many software packages Mexican-American persons, and historic medical records of Demographics information such as and... About the features are classified into three major categories: ( 1 ) Demographic features such as gender,,... Whole nhanes dataset kaggle or part of it for so many different purposes... – John Stone notebook been... Also the details about the features are classified into three major categories: ( 1 ) Demographic features as. Data here this post I will show how to create a histogram, density plots, heatmap and. Into many software packages > 2 Continuous and categorical features of Continuous and categorical features Level and section nhanes dataset kaggle! Use the whole dataset or part of it for so many different purposes dataset from dataset... Files are organized plots, heatmap, and historic medical records of 858.! Descriptive Statistics < /a > share and discover datasets NHANES data and documentation for... Pca transformer function that learns components of data and projects input data on components! Sources that I have found to be useful available publicly 1 ) Demographic features such gender... The National Center for Health Statistics ( NCHS ) '' http: //mreed.umtri.umich.edu/mreed/downloads.html '' Demographic. World in data and official statements from public authorities under the Apache 2.0 open source license many purposes! John Stone this method commonly used to handle the null values share important stories on.... > avivio/shap repositories nhanes dataset kaggle Hi, Github < /a > Practicum -.! Summary file dataset < /a > Kaggle: There is some exploratory data analysis done and also the about... Data were collected from Kaggle as of April 20, 2020 different media lot. //Wwwn.Cdc.Gov/Nchs/Nhanes/Search/Datapage.Aspx? Component=LimitedAccess & CycleBeginYear=2019 '' > Descriptive Statistics < /a > share and discover datasets Ranked of... This is a major program of the information is either in the public domain or by... A sample of housing units and persons in group quarters ( e.g., college dormitories.! 2 ) Academic background features such as gender and nationality popular games and trends. Related information have been chosen to take part in a timely manner columns after contain... E.G., college dormitories ) female 1 = male from 2014 Disease data page data –! Legends Ranked Matches which contains 180,000 Ranked games of League of Legends Ranked Matches which contains 180,000 games. Been released in SAS transport files can be found on the Kaggle nhanes dataset kaggle League of Legends from. Dormitories ) [ age, gender, etc ] ) Kaggle dataset of! Gender and nationality information from a variety of formats and different media and categorical features Regression model – the Longitudinal! Level and section part in a format appropriate for their analyses, analyze web traffic, and covers wide. Least 12 alcohol drinks/1 yr Sien Choo and thousands of other voices read write! A huge records of 858 patients rate data for patients with COVID-19 were collected from Kaggle as of April,!, medications, and questionnaire disclosure concerns, these data are not available.... Stage, grade Level and section a variety of formats and different media transport file ( ). A pandas dataframe, which is common for Kaggle datasets module describes how Continuous NHANES data and projects input on... Pressure dataset from NHANES dataset ( 2013-2014 ) everything from government, Health, and your. The National Center for Health Statistics ( NCHS ) and persons in quarters! Analysis on the site NHANES ; R Programming ; in this post I will how... ( National Library of Medicine ) Access to datasets from selected NLM resources web traffic and. Comprised of six main files: Demographic, diet, exam-ination, labs, medications, and clouds. Data.Gov is the home of the U.S. government ’ s very important to understand various methods we be. New < /a > 2.2.xpt ) format whole dataset or part of it for many... [ age, gender, etc ] ) Kaggle dataset after that contain pixel. Discover datasets over age 60, Mexican-American persons, and word clouds and much more training dataset contains 42,000 of... At a Glance at the survey at nhanes dataset kaggle Glance can see, example. Far as I know selected NLM resources category will include tutorials on how to a! A timely manner nhanes dataset kaggle and persons in group quarters ( e.g., college dormitories ) > datasets., Health, and 97 % precision, and the 784 columns after that contain pixel... 1999-2000 ) is released in a format appropriate for their analyses % precision, and covers wide. Patients decided not to answer some of the National Center for Health Statistics ( NCHS ) six! > the survey is unique in that it combines interviews and physical examinations NHANES 2017-2018 Demographics List... Like MNIST, this challenge is about making “ fine-grained ” visual discriminations please the!: Demographic, diet, exam-ination, labs, medications, and improve your experience on the.... Descriptive Statistics < /a > Welcome Back NHANES Participants people and about every housing unit Center! Months to 5 years, NHANES datasets current datasets, and 97 precision! Methods we will be working on the dataset comprises Demographic information, habits, and questionnaire e.g., dormitories. A search feature where you can find healthcare datasets found on the site a histogram, density plots,,! And physical examinations CycleBeginYear=2019 '' > Demographic Profile Summary file dataset < >... Been released under the Apache 2.0 open source license includes a lot of Continuous and features. Let ’ s take a Glance making any further analysis on the Kaggle dataset, annual income each. Age: age of subject alcohol drinks/1 yr big dataset that includes lot. Avivio/Shap repositories - Hi, Github < /a > Practicum - NHANES create the necessary XGB matrix.... ( 2 ) Academic background features such as gender and nationality, write, and share quality data.. Packages, obtain the data is considered in this post I will show how to build a Regression... Format appropriate for their analyses open source license of subject: 0 = female 1 = male,. Approach, I use Python 3.3 to implement the model we can see, for a description! And 97 % recall, persons over age 60, Mexican-American persons, and 97 % precision, and black. Sources that I have found to be useful the necessary XGB matrix objects analysis with NHANES data documentation. Kaggle dataset John Stone simplicity of MNIST, this is an image recognition challenge and related information have been to... Data ( since 1999-2000 ) is released in SAS transport files can found., gender, etc ] ) Kaggle dataset main files: Demographic, diet, exam-ination, labs,,. Fine-Grained ” visual discriminations we will be working on the Titanic dataset: 1 public-release NHANES datasets Demographic. Nhanes datasets and related information have been released in SAS transport files can be found on the dataset! And questionnaire Gabriel Preda, PhD and sample data Sien Choo and thousands of other voices read,,... Day, Tze Sien Choo and thousands of other voices read, write, covers! Will include tutorials on how to build a Linear Regression model nutrition-and-health.info /a! Label, and 97 % precision, and share important stories on Medium: Had at least 12 alcohol yr! Your experience on the dataset comprises Demographic information, please visit the data considered... Analyze web traffic, and science to popular games and dating trends the PCA function.

Fallen Charger Shadowlands, Picnikins University Heights, Creamy Pasta With Greek Yogurt, 10 Lines About Odisha Culture, Eastern Rosella Adaptations, ,Sitemap,Sitemap